Articles | Volume 24, issue 1
https://doi.org/10.5194/hess-24-269-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-269-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Jan 2020
Research article |
| 20 Jan 2020
| 20 Jan 2020
Impact of high-resolution sea surface temperature representation on the forecast of small Mediterranean catchments' hydrological responses to heavy precipitation
Alfonso Senatore
CORRESPONDING AUTHOR
Department of Environmental and Chemical Engineering, Università della Calabria, P.te P. Bucci 42b,
87036 Rende (CS), Italy
Luca Furnari
Department of Environmental and Chemical Engineering, Università della Calabria, P.te P. Bucci 42b,
87036 Rende (CS), Italy
Giuseppe Mendicino
Department of Environmental and Chemical Engineering, Università della Calabria, P.te P. Bucci 42b,
87036 Rende (CS), Italy
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Regional climate models (RCMs) are commonly used for high-resolution assessment of climate change impacts. This research assesses the reliability of several RCMs in a Mediterranean area (southern Italy), comparing historic climate and drought characteristics with
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We assessed the impact of initial conditions on convection-permitting simulations of a flood event over mountainous terrain. The calibrated convection-permitting model performs better than the simpler conceptual model. Discharge is slightly more sensitive to spin-up time than precipitation due to the influence of soil moisture. A maximum of 0.5 m of snow is converted to runoff irrespective of the initial snow depth, and this snowmelt contributes to discharge mostly during peak flow period.
Elenio Avolio, Ottavio Cavalcanti, Luca Furnari, Alfonso Senatore, and Giuseppe Mendicino
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This is the first scientific report of the flash flood of 20 August 2018 on “Raganello Gorge” (Southern Italy), an extreme event with rather specific features (very localized in space and time), which unfortunately caused 10 victims. The meteo-hydrological dynamics were reasonably reconstructed and the forecasting skills were evaluated using an innovative modelling approach, including fully coupled atmospheric-hydrological modelling and improved representation of Sea Surface Temperature.
Related subject area
Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
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Daily ensemble river discharge reforecasts and real-time forecasts from the operational Global Flood Awareness System
Spatial distribution of oceanic moisture contributions to precipitation over the Tibetan Plateau
Ensemble streamflow prediction considering the influence of reservoirs in Narmada River Basin, India
Declining water resources in response to global warming and changes in atmospheric circulation patterns over southern Mediterranean France
Linking the complementary evaporation relationship with the Budyko framework for ungauged areas in Australia
Risks of seasonal extreme rainfall events in Bangladesh under 1.5 and 2.0 °C warmer worlds – how anthropogenic aerosols change the story
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Pan evaporation is increased by submerged macrophytes
Evaluation of water flux predictive models developed using eddy-covariance observations and machine learning: a meta-analysis
Characterizing basin-scale precipitation gradients in the Third Pole region using a high-resolution atmospheric simulation-based dataset
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Modelling evaporation with local, regional and global BROOK90 frameworks: importance of parameterization and forcing
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Recent decrease in summer precipitation over the Iberian Peninsula closely links to reduction in local moisture recycling
Exploring the possible role of satellite-based rainfall data in estimating inter- and intra-annual global rainfall erosivity
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Regionalisation of Rainfall Depth-Duration-Frequency curves in Germany
Testing a maximum evaporation theory over saturated land: implications for potential evaporation estimation
The role of morphology in the spatial distribution of short-duration rainfall extremes in Italy
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Sandra M. Hauswirth, Marc F. P. Bierkens, Vincent Beijk, and Niko Wanders
Hydrol. Earth Syst. Sci., 27, 501–517, https://doi.org/10.5194/hess-27-501-2023, https://doi.org/10.5194/hess-27-501-2023, 2023
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Forecasts on water availability are important for water managers. We test a hybrid framework based on machine learning models and global input data for generating seasonal forecasts. Our evaluation shows that our discharge and surface water level predictions are able to create reliable forecasts up to 2 months ahead. We show that a hybrid framework, developed for local purposes and combined and rerun with global data, can create valuable information similar to large-scale forecasting models.
Richard Arsenault, Jean-Luc Martel, Frédéric Brunet, François Brissette, and Juliane Mai
Hydrol. Earth Syst. Sci., 27, 139–157, https://doi.org/10.5194/hess-27-139-2023, https://doi.org/10.5194/hess-27-139-2023, 2023
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Predicting flow in rivers where no observation records are available is a daunting task. For decades, hydrological models were set up on these gauges, and their parameters were estimated based on the hydrological response of similar or nearby catchments where records exist. New developments in machine learning have now made it possible to estimate flows at ungauged locations more precisely than with hydrological models. This study confirms the performance superiority of machine learning models.
Shaun Harrigan, Ervin Zsoter, Hannah Cloke, Peter Salamon, and Christel Prudhomme
Hydrol. Earth Syst. Sci., 27, 1–19, https://doi.org/10.5194/hess-27-1-2023, https://doi.org/10.5194/hess-27-1-2023, 2023
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Real-time river discharge forecasts and reforecasts from the Global Flood Awareness System (GloFAS) have been made publicly available, together with an evaluation of forecast skill at the global scale. Results show that GloFAS is skillful in over 93 % of catchments in the short (1–3 d) and medium range (5–15 d) and skillful in over 80 % of catchments in the extended lead time (16–30 d). Skill is summarised in a new layer on the GloFAS Web Map Viewer to aid decision-making.
Ying Li, Chenghao Wang, Ru Huang, Denghua Yan, Hui Peng, and Shangbin Xiao
Hydrol. Earth Syst. Sci., 26, 6413–6426, https://doi.org/10.5194/hess-26-6413-2022, https://doi.org/10.5194/hess-26-6413-2022, 2022
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Spatial quantification of oceanic moisture contribution to the precipitation over the Tibetan Plateau (TP) contributes to the reliable assessments of regional water resources and the interpretation of paleo archives in the region. Based on atmospheric reanalysis datasets and numerical moisture tracking, this work reveals the previously underestimated oceanic moisture contributions brought by the westerlies in winter and the overestimated moisture contributions from the Indian Ocean in summer.
Urmin Vegad and Vimal Mishra
Hydrol. Earth Syst. Sci., 26, 6361–6378, https://doi.org/10.5194/hess-26-6361-2022, https://doi.org/10.5194/hess-26-6361-2022, 2022
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Floods cause enormous damage to infrastructure and agriculture in India. However, the utility of ensemble meteorological forecast for hydrologic prediction has not been examined. Moreover, Indian river basins have a considerable influence of reservoirs that alter the natural flow variability. We developed a hydrologic modelling-based streamflow prediction considering the influence of reservoirs in India.
Camille Labrousse, Wolfgang Ludwig, Sébastien Pinel, Mahrez Sadaoui, Andrea Toreti, and Guillaume Lacquement
Hydrol. Earth Syst. Sci., 26, 6055–6071, https://doi.org/10.5194/hess-26-6055-2022, https://doi.org/10.5194/hess-26-6055-2022, 2022
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The interest of this study is to demonstrate that we identify two zones in our study area whose hydroclimatic behaviours are uneven. By investigating relationships between the hydroclimatic conditions in both clusters for past observations with the overall atmospheric functioning, we show that the inequalities are mainly driven by a different control of the atmospheric teleconnection patterns over the area.
Daeha Kim, Minha Choi, and Jong Ahn Chun
Hydrol. Earth Syst. Sci., 26, 5955–5969, https://doi.org/10.5194/hess-26-5955-2022, https://doi.org/10.5194/hess-26-5955-2022, 2022
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We proposed a practical method that predicts the evaporation rates on land surfaces (ET) where only atmospheric data are available. Using a traditional equation that describes partitioning of precipitation into ET and streamflow, we could approximately identify the key parameter of the predicting formulation based on land–atmosphere interactions. The simple method conditioned by local climates outperformed sophisticated models in reproducing water-balance estimates across Australia.
Ruksana H. Rimi, Karsten Haustein, Emily J. Barbour, Sarah N. Sparrow, Sihan Li, David C. H. Wallom, and Myles R. Allen
Hydrol. Earth Syst. Sci., 26, 5737–5756, https://doi.org/10.5194/hess-26-5737-2022, https://doi.org/10.5194/hess-26-5737-2022, 2022
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Extreme rainfall events are major concerns in Bangladesh. Heavy downpours can cause flash floods and damage nearly harvestable crops in pre-monsoon season. While in monsoon season, the impacts can range from widespread agricultural loss, huge property damage, to loss of lives and livelihoods. This paper assesses the role of anthropogenic climate change drivers in changing risks of extreme rainfall events during pre-monsoon and monsoon seasons at local sub-regional-scale within Bangladesh.
Eleonora Dallan, Francesco Marra, Giorgia Fosser, Marco Marani, Giuseppe Formetta, Christoph Schär, and Marco Borga
EGUsphere, https://doi.org/10.5194/egusphere-2022-1037, https://doi.org/10.5194/egusphere-2022-1037, 2022
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Climate models at convection-permitting resolutions could represent future changes in extreme short-duration precipitation critical for risk management. We use a non-asymptotic statistical method to estimate extremes from 10 years of simulations in an orographically complex area. Despite a good agreement with rain gauges, the observed decrease of hourly extremes with elevation is not fully represented by the model. Climate model adjustment methods should consider orography.
Brigitta Simon-Gáspár, Gábor Soós, and Angela Anda
Hydrol. Earth Syst. Sci., 26, 4741–4756, https://doi.org/10.5194/hess-26-4741-2022, https://doi.org/10.5194/hess-26-4741-2022, 2022
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Due to climate change, it is extremely important to determine evaporation as accurately as possible. In nature, there are sediments and macrophytes in the open waters; thus, one of the aims was to investigate their effect on evaporation. The second aim of this paper was to estimate daily evaporation by using different models, which, according to results, have high priority in the evaporation prediction. Water management can obtain useful information from the results of the current research.
Haiyang Shi, Geping Luo, Olaf Hellwich, Mingjuan Xie, Chen Zhang, Yu Zhang, Yuangang Wang, Xiuliang Yuan, Xiaofei Ma, Wenqiang Zhang, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
Hydrol. Earth Syst. Sci., 26, 4603–4618, https://doi.org/10.5194/hess-26-4603-2022, https://doi.org/10.5194/hess-26-4603-2022, 2022
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There have been many machine learning simulation studies based on eddy-covariance observations for water flux and evapotranspiration. We performed a meta-analysis of such studies to clarify the impact of different algorithms and predictors, etc., on the reported prediction accuracy. It can, to some extent, guide future global water flux modeling studies and help us better understand the terrestrial ecosystem water cycle.
Yaozhi Jiang, Kun Yang, Hua Yang, Hui Lu, Yingying Chen, Xu Zhou, Jing Sun, Yuan Yang, and Yan Wang
Hydrol. Earth Syst. Sci., 26, 4587–4601, https://doi.org/10.5194/hess-26-4587-2022, https://doi.org/10.5194/hess-26-4587-2022, 2022
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Our study quantified the altitudinal precipitation gradients (PGs) over the Third Pole (TP). Most sub-basins in the TP have positive PGs, and negative PGs are found in the Himalayas, the Hengduan Mountains and the western Kunlun. PGs are positively correlated with wind speed but negatively correlated with relative humidity. In addition, PGs tend to be positive at smaller spatial scales compared to those at larger scales. The findings can assist precipitation interpolation in the data-sparse TP.
Francesca Carletti, Adrien Michel, Francesca Casale, Alice Burri, Daniele Bocchiola, Mathias Bavay, and Michael Lehning
Hydrol. Earth Syst. Sci., 26, 3447–3475, https://doi.org/10.5194/hess-26-3447-2022, https://doi.org/10.5194/hess-26-3447-2022, 2022
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High Alpine catchments are dominated by the melting of seasonal snow cover and glaciers, whose amount and seasonality are expected to be modified by climate change. This paper compares the performances of different types of models in reproducing discharge among two catchments under present conditions and climate change. Despite many advantages, the use of simpler models for climate change applications is controversial as they do not fully represent the physics of the involved processes.
Ivan Vorobevskii, Thi Thanh Luong, Rico Kronenberg, Thomas Grünwald, and Christian Bernhofer
Hydrol. Earth Syst. Sci., 26, 3177–3239, https://doi.org/10.5194/hess-26-3177-2022, https://doi.org/10.5194/hess-26-3177-2022, 2022
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In the study we analysed the uncertainties of the meteorological data and model parameterization for evaporation modelling. We have taken a physically based lumped BROOK90 model and applied it in three different frameworks using global, regional and local datasets. Validating the simulations with eddy-covariance data from five stations in Germany, we found that the accuracy model parameterization plays a bigger role than the quality of the meteorological forcing.
Thomas Lees, Steven Reece, Frederik Kratzert, Daniel Klotz, Martin Gauch, Jens De Bruijn, Reetik Kumar Sahu, Peter Greve, Louise Slater, and Simon J. Dadson
Hydrol. Earth Syst. Sci., 26, 3079–3101, https://doi.org/10.5194/hess-26-3079-2022, https://doi.org/10.5194/hess-26-3079-2022, 2022
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Despite the accuracy of deep learning rainfall-runoff models, we are currently uncertain of what these models have learned. In this study we explore the internals of one deep learning architecture and demonstrate that the model learns about intermediate hydrological stores of soil moisture and snow water, despite never having seen data about these processes during training. Therefore, we find evidence that the deep learning approach learns a physically realistic mapping from inputs to outputs.
Huajin Lei, Hongyu Zhao, and Tianqi Ao
Hydrol. Earth Syst. Sci., 26, 2969–2995, https://doi.org/10.5194/hess-26-2969-2022, https://doi.org/10.5194/hess-26-2969-2022, 2022
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How to combine multi-source precipitation data effectively is one of the hot topics in hydrometeorological research. This study presents a two-step merging strategy based on machine learning for multi-source precipitation merging over China. The results demonstrate that the proposed method effectively distinguishes the occurrence of precipitation events and reduces the error in precipitation estimation. This method is robust and may be successfully applied to other areas even with scarce data.
Alexane Lovat, Béatrice Vincendon, and Véronique Ducrocq
Hydrol. Earth Syst. Sci., 26, 2697–2714, https://doi.org/10.5194/hess-26-2697-2022, https://doi.org/10.5194/hess-26-2697-2022, 2022
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The hydrometeorological skills of two new nowcasting systems for forecasting Mediterranean intense rainfall events and floods are investigated. The results reveal that up to 75 or 90 min of forecast the performance of the nowcasting system blending numerical weather prediction and extrapolation of radar estimation is higher than the numerical weather model. For lead times up to 3 h the skills are equivalent in general. Using these nowcasting systems for flash flood forecasting is also promising.
Alexandre Tuel, Bettina Schaefli, Jakob Zscheischler, and Olivia Martius
Hydrol. Earth Syst. Sci., 26, 2649–2669, https://doi.org/10.5194/hess-26-2649-2022, https://doi.org/10.5194/hess-26-2649-2022, 2022
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River discharge is strongly influenced by the temporal structure of precipitation. Here, we show how extreme precipitation events that occur a few days or weeks after a previous event have a larger effect on river discharge than events occurring in isolation. Windows of 2 weeks or less between events have the most impact. Similarly, periods of persistent high discharge tend to be associated with the occurrence of several extreme precipitation events in close succession.
Hanieh Seyedhashemi, Jean-Philippe Vidal, Jacob S. Diamond, Dominique Thiéry, Céline Monteil, Frédéric Hendrickx, Anthony Maire, and Florentina Moatar
Hydrol. Earth Syst. Sci., 26, 2583–2603, https://doi.org/10.5194/hess-26-2583-2022, https://doi.org/10.5194/hess-26-2583-2022, 2022
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Stream temperature appears to be increasing globally, but its rate remains poorly constrained due to a paucity of long-term data. Using a thermal model, this study provides a large-scale understanding of the evolution of stream temperature over a long period (1963–2019). This research highlights that air temperature and streamflow can exert joint influence on stream temperature trends, and riparian shading in small mountainous streams may mitigate warming in stream temperatures.
Shakirudeen Lawal, Stephen Sitch, Danica Lombardozzi, Julia E. M. S. Nabel, Hao-Wei Wey, Pierre Friedlingstein, Hanqin Tian, and Bruce Hewitson
Hydrol. Earth Syst. Sci., 26, 2045–2071, https://doi.org/10.5194/hess-26-2045-2022, https://doi.org/10.5194/hess-26-2045-2022, 2022
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To investigate the impacts of drought on vegetation, which few studies have done due to various limitations, we used the leaf area index as proxy and dynamic global vegetation models (DGVMs) to simulate drought impacts because the models use observationally derived climate. We found that the semi-desert biome responds strongly to drought in the summer season, while the tropical forest biome shows a weak response. This study could help target areas to improve drought monitoring and simulation.
Yubo Liu, Monica Garcia, Chi Zhang, and Qiuhong Tang
Hydrol. Earth Syst. Sci., 26, 1925–1936, https://doi.org/10.5194/hess-26-1925-2022, https://doi.org/10.5194/hess-26-1925-2022, 2022
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Our findings indicate that the reduction in contribution to the Iberian Peninsula (IP) summer precipitation is mainly concentrated in the IP and its neighboring grids. Compared with 1980–1997, both local recycling and external moisture were reduced during 1998–2019. The reduction in local recycling in the IP closely links to the disappearance of the wet years and the decreasing contribution in the dry years.
Nejc Bezak, Pasquale Borrelli, and Panos Panagos
Hydrol. Earth Syst. Sci., 26, 1907–1924, https://doi.org/10.5194/hess-26-1907-2022, https://doi.org/10.5194/hess-26-1907-2022, 2022
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Rainfall erosivity is one of the main factors in soil erosion. A satellite-based global map of rainfall erosivity was constructed using data with a 30 min time interval. It was shown that the satellite-based precipitation products are an interesting option for estimating rainfall erosivity, especially in regions with limited ground data. However, ground-based high-frequency precipitation measurements are (still) essential for accurate estimates of rainfall erosivity.
Xueli Yang, Zhi-Hua Wang, and Chenghao Wang
Hydrol. Earth Syst. Sci., 26, 1845–1856, https://doi.org/10.5194/hess-26-1845-2022, https://doi.org/10.5194/hess-26-1845-2022, 2022
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In this study, we investigated potentially catastrophic transitions in hydrological processes by identifying the early-warning signals which manifest as a
critical slowing downin complex dynamic systems. We then analyzed the precipitation network of cities in the contiguous United States and found that key network parameters, such as the nodal density and the clustering coefficient, exhibit similar dynamic behaviour, which can serve as novel early-warning signals for the hydrological system.
Bora Shehu, Winfried Willems, Henrike Stockel, Luisa Thiele, and Uwe Haberlandt
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-118, https://doi.org/10.5194/hess-2022-118, 2022
Revised manuscript accepted for HESS
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Rainfall volumes at varying duration and frequencies are required for many engineering water works. These design volumes have been provided by KOSTRA-DWD in Germany. However, a revision of the KOSTRA-DWD is required, in order to consider the recent state-of-the-art and additional data. For this purpose, in our study we investigate different methods and data available, to achieve the best procedure that will serve as a basis for the development of the new KOSTRA-DWD product.
Zhuoyi Tu, Yuting Yang, and Michael L. Roderick
Hydrol. Earth Syst. Sci., 26, 1745–1754, https://doi.org/10.5194/hess-26-1745-2022, https://doi.org/10.5194/hess-26-1745-2022, 2022
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Here we test a maximum evaporation theory that acknowledges the interdependence between radiation, surface temperature, and evaporation over saturated land. We show that the maximum evaporation approach recovers observed evaporation and surface temperature under non-water-limited conditions across a broad range of bio-climates. The implication is that the maximum evaporation concept can be used to predict potential evaporation that has long been a major difficulty for the hydrological community.
Paola Mazzoglio, Ilaria Butera, Massimiliano Alvioli, and Pierluigi Claps
Hydrol. Earth Syst. Sci., 26, 1659–1672, https://doi.org/10.5194/hess-26-1659-2022, https://doi.org/10.5194/hess-26-1659-2022, 2022
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We have analyzed the spatial dependence of rainfall extremes upon elevation and morphology in Italy. Regression analyses show that previous rainfall–elevation relations at national scale can be substantially improved with new data, both using topography attributes and constraining the analysis within areas stemming from geomorphological zonation. Short-duration mean rainfall depths can then be estimated, all over Italy, using different parameters in each area of the geomorphological subdivision.
Mina Faghih, François Brissette, and Parham Sabeti
Hydrol. Earth Syst. Sci., 26, 1545–1563, https://doi.org/10.5194/hess-26-1545-2022, https://doi.org/10.5194/hess-26-1545-2022, 2022
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The diurnal cycles of precipitation and temperature generated by climate models are biased. This work investigates whether or not impact modellers should correct the diurnal cycle biases prior to conducting hydrological impact studies at the sub-daily scale. The results show that more accurate streamflows are obtained when the diurnal cycles biases are corrected. This is noticeable for smaller catchments, which have a quicker reaction time to changes in precipitation and temperature.
Edwin P. Maurer, Iris T. Stewart, Kenneth Joseph, and Hugo G. Hidalgo
Hydrol. Earth Syst. Sci., 26, 1425–1437, https://doi.org/10.5194/hess-26-1425-2022, https://doi.org/10.5194/hess-26-1425-2022, 2022
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The mid-summer drought (MSD) is common in Mesoamerica. It is a short (weeks-long) period of reduced rainfall near the middle of the rainy season. When it occurs, how long it lasts, and how dry it is all have important implications for smallholder farmers. Studies of changes in MSD characteristics rely on defining characteristics of an MSD. Different definitions affect whether an area would be considered to experience an MSD as well as the changes that have happened in the last 40 years.
Qichun Yang, Quan J. Wang, Andrew W. Western, Wenyan Wu, Yawen Shao, and Kirsti Hakala
Hydrol. Earth Syst. Sci., 26, 941–954, https://doi.org/10.5194/hess-26-941-2022, https://doi.org/10.5194/hess-26-941-2022, 2022
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Forecasts of evaporative water loss in the future are highly valuable for water resource management. These forecasts are often produced using the outputs of climate models. We developed an innovative method to correct errors in these forecasts, particularly the errors caused by deficiencies of climate models in modeling the changing climate. We apply this method to seasonal forecasts of evaporative water loss across Australia and achieve significant improvements in the forecast quality.
Brahima Koné, Arona Diedhiou, Adama Diawara, Sandrine Anquetin, N'datchoh Evelyne Touré, Adama Bamba, and Arsene Toka Kobea
Hydrol. Earth Syst. Sci., 26, 711–730, https://doi.org/10.5194/hess-26-711-2022, https://doi.org/10.5194/hess-26-711-2022, 2022
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The impact of initial soil moisture anomalies can persist for up to 3–4 months and is greater on temperature than on precipitation over West Africa. The strongest homogeneous impact on temperature is located over the Central Sahel, with a peak change of −1.5 and 0.5 °C in the wet and dry experiments, respectively. The strongest impact on precipitation in the wet and dry experiments is found over the West and Central Sahel, with a peak change of about 40 % and −8 %, respectively.
Brahima Koné, Arona Diedhiou, Adama Diawara, Sandrine Anquetin, N'datchoh Evelyne Touré, Adama Bamba, and Arsene Toka Kobea
Hydrol. Earth Syst. Sci., 26, 731–754, https://doi.org/10.5194/hess-26-731-2022, https://doi.org/10.5194/hess-26-731-2022, 2022
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The impact of initial soil moisture is more significant on temperature extremes than on precipitation extremes. A stronger impact is found on maximum temperature than on minimum temperature. The impact on extreme precipitation indices is homogeneous, especially over the Central Sahel, and dry (wet) experiments tend to decrease (increase) the number of precipitation extreme events but not their intensity.
Josias Láng-Ritter, Marc Berenguer, Francesco Dottori, Milan Kalas, and Daniel Sempere-Torres
Hydrol. Earth Syst. Sci., 26, 689–709, https://doi.org/10.5194/hess-26-689-2022, https://doi.org/10.5194/hess-26-689-2022, 2022
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During flood events, emergency managers such as civil protection authorities rely on flood forecasts to make informed decisions. In the current practice, they monitor several separate forecasts, each one of them covering a different type of flooding. This can be time-consuming and confusing, ultimately compromising the effectiveness of the emergency response. This work illustrates how the automatic combination of flood type-specific impact forecasts can improve decision support systems.
Junjiang Liu, Xing Yuan, Junhan Zeng, Yang Jiao, Yong Li, Lihua Zhong, and Ling Yao
Hydrol. Earth Syst. Sci., 26, 265–278, https://doi.org/10.5194/hess-26-265-2022, https://doi.org/10.5194/hess-26-265-2022, 2022
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Hourly streamflow ensemble forecasts with the CSSPv2 land surface model and ECMWF meteorological forecasts reduce both the probabilistic and deterministic forecast error compared with the ensemble streamflow prediction approach during the first week. The deterministic forecast error can be further reduced in the first 72 h when combined with the long short-term memory (LSTM) deep learning method. The forecast skill for LSTM using only historical observations drops sharply after the first 24 h.
Michael Peichl, Stephan Thober, Luis Samaniego, Bernd Hansjürgens, and Andreas Marx
Hydrol. Earth Syst. Sci., 25, 6523–6545, https://doi.org/10.5194/hess-25-6523-2021, https://doi.org/10.5194/hess-25-6523-2021, 2021
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Using a statistical model that can also take complex systems into account, the most important factors affecting wheat yield in Germany are determined. Different spatial damage potentials are taken into account. In many parts of Germany, yield losses are caused by too much soil water in spring. Negative heat effects as well as damaging soil drought are identified especially for north-eastern Germany. The model is able to explain years with exceptionally high yields (2014) and losses (2003, 2018).
Sara Cloux, Daniel Garaboa-Paz, Damián Insua-Costa, Gonzalo Miguez-Macho, and Vicente Pérez-Muñuzuri
Hydrol. Earth Syst. Sci., 25, 6465–6477, https://doi.org/10.5194/hess-25-6465-2021, https://doi.org/10.5194/hess-25-6465-2021, 2021
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We examine the performance of a widely used Lagrangian method for moisture tracking by comparing it with a highly accurate Eulerian tool, both operating on the same WRF atmospheric model fields. Although the Lagrangian approach is very useful for a qualitative analysis of moisture sources, it has important limitations in quantifying the contribution of individual sources to precipitation. These drawbacks should be considered by other authors in the future so as to not draw erroneous conclusions.
Felix S. Fauer, Jana Ulrich, Oscar E. Jurado, and Henning W. Rust
Hydrol. Earth Syst. Sci., 25, 6479–6494, https://doi.org/10.5194/hess-25-6479-2021, https://doi.org/10.5194/hess-25-6479-2021, 2021
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Extreme rainfall events are modeled in this study for different timescales. A new parameterization of the dependence between extreme values and their timescale enables our model to estimate extremes on very short (1 min) and long (5 d) timescales simultaneously. We compare different approaches of modeling this dependence and find that our new model improves performance for timescales between 2 h and 2 d without affecting model performance on other timescales.
Mark R. Muetzelfeldt, Reinhard Schiemann, Andrew G. Turner, Nicholas P. Klingaman, Pier Luigi Vidale, and Malcolm J. Roberts
Hydrol. Earth Syst. Sci., 25, 6381–6405, https://doi.org/10.5194/hess-25-6381-2021, https://doi.org/10.5194/hess-25-6381-2021, 2021
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Simulating East Asian Summer Monsoon (EASM) rainfall poses many challenges because of its multi-scale nature. We evaluate three setups of a 14 km global climate model against observations to see if they improve simulated rainfall. We do this over catchment basins of different sizes to estimate how model performance depends on spatial scale. Using explicit convection improves rainfall diurnal cycle, yet more model tuning is needed to improve mean and intensity biases in simulated summer rainfall.
Elena Leonarduzzi, Brian W. McArdell, and Peter Molnar
Hydrol. Earth Syst. Sci., 25, 5937–5950, https://doi.org/10.5194/hess-25-5937-2021, https://doi.org/10.5194/hess-25-5937-2021, 2021
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Landslides are a dangerous natural hazard affecting alpine regions, calling for effective warning systems. Here we consider different approaches for the prediction of rainfall-induced shallow landslides at the regional scale, based on open-access datasets and operational hydrological forecasting systems. We find antecedent wetness useful to improve upon the classical rainfall thresholds and the resolution of the hydrological model used for its estimate to be a critical aspect.
Charles Nduhiu Wamucii, Pieter R. van Oel, Arend Ligtenberg, John Mwangi Gathenya, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 25, 5641–5665, https://doi.org/10.5194/hess-25-5641-2021, https://doi.org/10.5194/hess-25-5641-2021, 2021
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East African water towers (WTs) are under pressure from human influences within and without, but the water yield (WY) is more sensitive to climate changes from within. Land use changes have greater impacts on WY in the surrounding lowlands. The WTs have seen a strong shift towards wetter conditions while, at the same time, the potential evapotranspiration is gradually increasing. The WTs were identified as non-resilient, and future WY may experience more extreme variations.
Chuanfa Chen, Baojian Hu, and Yanyan Li
Hydrol. Earth Syst. Sci., 25, 5667–5682, https://doi.org/10.5194/hess-25-5667-2021, https://doi.org/10.5194/hess-25-5667-2021, 2021
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This study proposes an easy-to-use downscaling-calibration method based on a spatial random forest with the incorporation of high-resolution variables. The proposed method is general, robust, accurate and easy to use as it shows more accurate results than the classical methods in the study area with heterogeneous terrain morphology and precipitation. It can be easily applied to other regions where precipitation data with high resolution and high accuracy are urgently required.
Lian Liu, Yaoming Ma, Massimo Menenti, Rongmingzhu Su, Nan Yao, and Weiqiang Ma
Hydrol. Earth Syst. Sci., 25, 4967–4981, https://doi.org/10.5194/hess-25-4967-2021, https://doi.org/10.5194/hess-25-4967-2021, 2021
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Albedo is a key factor in land surface energy balance, which is difficult to successfully reproduce by models. Here, we select eight snow events on the Tibetan Plateau to evaluate the universal improvements of our improved albedo scheme. The RMSE relative reductions for temperature, albedo, sensible heat flux and snow depth reach 27%, 32%, 13% and 21%, respectively, with remarkable increases in the correlation coefficients. This presents a strong potential of our scheme for modeling snow events.
Nicolas Gasset, Vincent Fortin, Milena Dimitrijevic, Marco Carrera, Bernard Bilodeau, Ryan Muncaster, Étienne Gaborit, Guy Roy, Nedka Pentcheva, Maxim Bulat, Xihong Wang, Radenko Pavlovic, Franck Lespinas, Dikra Khedhaouiria, and Juliane Mai
Hydrol. Earth Syst. Sci., 25, 4917–4945, https://doi.org/10.5194/hess-25-4917-2021, https://doi.org/10.5194/hess-25-4917-2021, 2021
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In this paper, we highlight the importance of including land-data assimilation as well as offline precipitation analysis components in a regional reanalysis system. We also document the performance of the first multidecadal 10 km reanalysis performed with the GEM atmospheric model that can be used for seamless land-surface and hydrological modelling in North America. It is of particular interest for transboundary basins, as existing datasets often show discontinuities at the border.
Ying Li, Chenghao Wang, Hui Peng, Shangbin Xiao, and Denghua Yan
Hydrol. Earth Syst. Sci., 25, 4759–4772, https://doi.org/10.5194/hess-25-4759-2021, https://doi.org/10.5194/hess-25-4759-2021, 2021
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Precipitation change in the Three Gorges Reservoir Region (TGRR) plays a critical role in the operation and regulation of the Three Gorges Dam and the protection of residents and properties. We investigated the long-term contribution of moisture sources to precipitation changes in this region with an atmospheric moisture tracking model. We found that southwestern source regions (especially the southeastern tip of the Tibetan Plateau) are the key regions that control TGRR precipitation changes.
Wei Li, Lu Li, Jie Chen, Qian Lin, and Hua Chen
Hydrol. Earth Syst. Sci., 25, 4531–4548, https://doi.org/10.5194/hess-25-4531-2021, https://doi.org/10.5194/hess-25-4531-2021, 2021
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Reforestation can influence climate, but the sensitivity of summer rainfall to reforestation is rarely investigated. We take two reforestation scenarios to assess the impacts of reforestation on summer rainfall under different reforestation proportions and explore the potential mechanisms. This study concludes that reforestation increases summer rainfall amount and extremes through thermodynamics processes, and the effects are more pronounced in populated areas than over the whole basin.
Trude Eidhammer, Adam Booth, Sven Decker, Lu Li, Michael Barlage, David Gochis, Roy Rasmussen, Kjetil Melvold, Atle Nesje, and Stefan Sobolowski
Hydrol. Earth Syst. Sci., 25, 4275–4297, https://doi.org/10.5194/hess-25-4275-2021, https://doi.org/10.5194/hess-25-4275-2021, 2021
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We coupled a detailed snow–ice model (Crocus) to represent glaciers in the Weather Research and Forecasting (WRF)-Hydro model and tested it on a well-studied glacier. Several observational systems were used to evaluate the system, i.e., satellites, ground-penetrating radar (used over the glacier for snow depth) and stake observations for glacier mass balance and discharge measurements in rivers from the glacier. Results showed improvements in the streamflow projections when including the model.
Ren Wang, Pierre Gentine, Jiabo Yin, Lijuan Chen, Jianyao Chen, and Longhui Li
Hydrol. Earth Syst. Sci., 25, 3805–3818, https://doi.org/10.5194/hess-25-3805-2021, https://doi.org/10.5194/hess-25-3805-2021, 2021
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Assessment of changes in the global water cycle has been a challenge. This study estimated long-term global latent heat and sensible heat fluxes for recent decades using machine learning and ground observations. The results found that the decline in evaporative fraction was typically accompanied by an increase in long-term runoff in over 27.06 % of the global land areas. The observation-driven findings emphasized that surface vegetation has great impacts in regulating water and energy cycles.
Zhipeng Xie, Weiqiang Ma, Yaoming Ma, Zeyong Hu, Genhou Sun, Yizhe Han, Wei Hu, Rongmingzhu Su, and Yixi Fan
Hydrol. Earth Syst. Sci., 25, 3783–3804, https://doi.org/10.5194/hess-25-3783-2021, https://doi.org/10.5194/hess-25-3783-2021, 2021
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Ground information on the occurrence of blowing snow has been sorely lacking because direct observations of blowing snow are sparse in time and space. In this paper, we investigated the potential capability of the decision tree model to detect blowing snow events in the European Alps. Trained with routine meteorological observations, the decision tree model can be used as an efficient tool to detect blowing snow occurrences across different regions requiring limited meteorological variables.
Santos J. González-Rojí, Sheila Carreno-Madinabeitia, Jon Sáenz, and Gabriel Ibarra-Berastegi
Hydrol. Earth Syst. Sci., 25, 3471–3492, https://doi.org/10.5194/hess-25-3471-2021, https://doi.org/10.5194/hess-25-3471-2021, 2021
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The simulation of precipitation extreme events is a known problem in modelling. That is why the atmospheric conditions favourable for its development as simulated by two WRF experiments are evaluated in this paper. The experiment including 3DVAR data assimilation outperforms the one without in simulating the TT index, CAPE, and CIN over the Iberian Peninsula. The ingredients for convective precipitation in winter are found at the Atlantic coast, but in summer they are at the Mediterranean coast.
Kyungrock Paik and Won Kim
Hydrol. Earth Syst. Sci., 25, 2459–2474, https://doi.org/10.5194/hess-25-2459-2021, https://doi.org/10.5194/hess-25-2459-2021, 2021
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Climate, topography, and tectonics evolve together. To simulate their co-evolution, a fully coupled computer simulation model between local climate and topography is developed in this study. We simulated how the mountain development enhances local rainfall and its feedback on topography through stronger erosion. We found that the evolution of the coupled system can be more complicated than previously thought. The channel concavity on the windward side becomes lower as the wind grows.
Elizabeth Cooper, Eleanor Blyth, Hollie Cooper, Rich Ellis, Ewan Pinnington, and Simon J. Dadson
Hydrol. Earth Syst. Sci., 25, 2445–2458, https://doi.org/10.5194/hess-25-2445-2021, https://doi.org/10.5194/hess-25-2445-2021, 2021
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Soil moisture estimates from land surface models are important for forecasting floods, droughts, weather, and climate trends. We show that by combining model estimates of soil moisture with measurements from field-scale, ground-based sensors, we can improve the performance of the land surface model in predicting soil moisture values.
Cited articles
Allen, M., Frame, D., Kettleborough, J., and Stainforth, D.: Model error in
weather and climate forecasting, in: Palmer, T. and Hagedorn, R.,
Predictability of Weather and Climate (391–427), Cambridge
University Press, Cambridge, https://doi.org/10.1017/CBO9780511617652.016,
2002.
Arnault, J., Wagner, S., Rummler, T., Fersch, B., Bliefernicht, J.,
Andresen, S., and Kunstmann, H.: Role of Runoff–Infiltration Partitioning
and Resolved Overland Flow on Land–Atmosphere Feedbacks: A Case Study with
the WRF-Hydro Coupled Modelling System for West Africa, J. Hydrometeorol., 17,
1489–1516, https://doi.org/10.1175/JHM-D-15-0089.1, 2016.
Avolio, E. and Federico, S.: WRF simulations for a heavy rainfall event in
southern Italy: Verification and sensitivity tests, Atmos. Res.,
209, 14–35, https://doi.org/10.1016/j.atmosres.2018.03.009,
2018.
Avolio, E., Cavalcanti, O., Furnari, L., Senatore, A., and Mendicino, G.: Brief communication: Preliminary hydro-meteorological analysis of the flash flood of 20 August 2018 in Raganello Gorge, southern Italy, Nat. Hazards Earth Syst. Sci., 19, 1619–1627, https://doi.org/10.5194/nhess-19-1619-2019, 2019.
Barker, D., Huang, X.-Y, Liu, Z., Auligné, T., Zhang, X., Rugg, S.,
Ajjaji, R., Bourgeois, A., Bray, J., Chen, Y., Demirtas, M., Guo, Y.-R,
Henderson, T., Huang, W., Lin, H.-C., Michalakes, J., Rizvi, S., and Zhang,
X.: The Weather Research and Forecasting Model's Community
Variational/Ensemble Data Assimilation System: WRFDA, B. Am. Meteorol.
Soc., 93, 831–843, https://doi.org/10.1175/BAMS-D-11-00167.1,
2012.
Barker, D. M., Huang, W., Guo, Y. R., Bourgeois, A. J., and Xiao, Q. N.: A
Three-Dimensional (3DVAR) Data Assimilation System For Use With MM5:
Implementation and Initial Results, Mon. Weather Rev., 132, 897–914, https://doi.org/10.1175/1520-0493(2004)132<0897:ATVDAS>2.0.CO;2, 2004.
Berthou, S., Mailler, S., Drobinski, P., Arsouze, T., Bastin, S.,
Béranger, K., and Lebeaupin-Brossier, C.: Prior history of Mistral and
Tramontane winds modulates heavy precipitation events in southern France,
Tellus A, 66, 24064,
https://doi.org/10.3402/tellusa.v66.24064, 2014.
Berthou, S., Mailler, S., Drobinski, P., Arsouze, T., Bastin, S.,
Béranger, K., and Lebeaupin-Brossier, C.: Sensitivity of an intense rain
event between atmosphere-only and atmosphere–ocean regional coupled models:
19 September 1996, Q. J. Roy. Meteor. Soc., 141,
258–271, https://doi.org/10.1002/qj.2355, 2015.
Berthou, S., Mailler, S., Drobinski, P., Arsouze, T., Bastin, S.,
Béranger, K., Flaounas, E., Lebeaupin Brossier, C., Somot, S., and
Stéfanon, M.: Influence of submonthly air–sea coupling on heavy
precipitation events in the Western Mediterranean basin, Q. J. Roy. Meteor.
Soc., 142, 453–471, https://doi.org/10.1002/qj.2717, 2016.
Buizza, R.: Chapter 2 – Ensemble Forecasting and the Need for Calibration,
in: Statistical Postprocessing of Ensemble Forecasts, edited by: Vannitsem, S., Wilks, D. S., and Messner, J. W., Elsevier, 15–48,
ISBN 9780128123720,
https://doi.org/10.1016/B978-0-12-812372-0.00002-9, 2018.
Cabanes, C., Grouazel, A., von Schuckmann, K., Hamon, M., Turpin, V., Coatanoan, C., Paris, F., Guinehut, S., Boone, C., Ferry, N., de Boyer Montégut, C., Carval, T., Reverdin, G., Pouliquen, S., and Le Traon, P.-Y.: The CORA dataset: validation and diagnostics of in-situ ocean temperature and salinity measurements, Ocean Sci., 9, 1–18, https://doi.org/10.5194/os-9-1-2013, 2013.
Cassola, F., Ferrari, F., Mazzino, A., and Miglietta, M. M.: The role of the
sea on the flash floods events over Liguria (northwestern Italy), Geophys.
Res. Lett., 43, 3534–3542,
https://doi.org/10.1002/2016GL068265, 2016.
Centro Funzionale Centrale Rischio Meteo-idrogeologico e Idraulico – Italian Government, Home page: available at:
http://www.protezionecivile.gov.it/home, last access: 5 December 2019.
Centro Funzionale Multirischi – ARPACAL: Historical dataset, available at:
http://www.cfd.calabria.it/index.php/dati-stazioni/dati-storici, last access: 5 December 2019.
CFM (Centro Funzionale Multirischi della Calabria): Technical report,
Rapporto speditivo di evento metopluviometrico del 12 agosto 2015, available at: http://www.cfd.calabria.it/DatiVari/Pubblicazioni/rapporto di evento 12 agosto.pdf
(last access: 4 November 2019), 2015a (in
Italian).
CFM (Centro Funzionale Multirischi della Calabria): Technical report,
Rapporto di evento metopluviometrico del 30 ottobre 2 novembre 2015, available at: http://www.cfd.calabria.it/DatiVari/Pubblicazioni/rapporto di evento 30 ottobre-2 novembre2015.pdf
(last access: 4 November 2019), 2015b (in
Italian).
Chen, S. H. and Sun, W.-Y.: A One-dimensional Time Dependent Cloud Model,
J. Meteorol. Soc. Jpn., 80, 99–118,
https://doi.org/10.2151/jmsj.80.99, 2002.
Chiaravalloti, F. and Gabriele, S.: Vibo Valentia flood and MSG rainfall
evaluation, Atmos. Res., 93, 286–294, https://doi.org/10.1016/j.atmosres.2008.10.027, 2009.
Cohen, S., Praskievicz, S., and Maidment, D. R.: Featured Collection
Introduction: National Water Model, J. Am. Water Resour.
As., 54, 767–769, https://doi.org/10.1111/1752-1688.12664, 2018.
Cuo, L., Pagano, T. C., and Wang, Q. J.: A Review of Quantitative
Precipitation Forecasts and Their Use in Short- to Medium-Range Streamflow
Forecasting, J. Hydrometeorol., 12, 713–728,
https://doi.org/10.1175/2011JHM1347.1, 2011.
Davolio, S., Silvestro, F., and Malguzzi, P.: Effects of Increasing
Horizontal Resolution in a Convection-Permitting Model on Flood Forecasting:
The 2011 Dramatic Events in Liguria, Italy, J. Hydrometeorol., 16, 1843–1856, https://doi.org/10.1175/JHM-D-14-0094.1, 2015.
Davolio, S., Silvestro, F., and Gastaldo, T.: Impact of Rainfall
Assimilation on High-Resolution Hydrometeorological Forecasts over Liguria,
Italy, J. Hydrometeorol., 18, 2659–2680,
https://doi.org/10.1175/JHM-D-17-0073.1, 2017.
Donlon, C., Robinson, I., Casey, K. S., Vazquez-Cuervo, J., Armstrong, E.,
Arino, O., Gentemann, C., May, D., LeBorgne, P., Piollé, J., Barton, I.,
Beggs, H., Poulter, D. J., Merchant, C. J., Bingham, A., Heinz, S., Harris,
A., Wick, G., Emery, B., Minnett, P., Evans, R., Llewellyn-Jones, D.,
Mutlow, C., Reynolds, R. W., Kawamura, H., and Rayner, N.: The Global Ocean
Data Assimilation Experiment High-resolution Sea Surface Temperature Pilot
Project, B. Am. Meteorol. Soc., 88, 1197–1214,
https://doi.org/10.1175/BAMS-88-8-1197, 2007.
Drobinski, P., Silva, N.D., Panthou, G., Bastin, S., Muller, C., Ahrens, B.,
Borga, B., Conte, D., Fosser, G., Giorgi, F., Güttler, I., Kotroni, V.,
Li, L., Morin, E., Önol, B., Quintana-Segui, P., Romera, R., and Torma,
C. S.: Scaling precipitation extremes with temperature in the Mediterranean:
past climate assessment and projection in anthropogenic scenarios, Clim.
Dynam., 51, 1237–1257, https://doi.org/10.1007/s00382-016-3083-x,
2018.
Dudhia, J.: Numerical Study of Convection Observed during the Winter Monsoon
Experiment Using a Mesoscale Two-Dimensional Model, J. Atmos. Sci., 46,
3077–3107, https://doi.org/10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2, 1989.
Evans, C., Dyke, D., and Lericos, T.: How Do Forecasters Utilize Output from
a Convection-Permitting Ensemble Forecast System? Case Study of a
High-Impact Precipitation Event, Weather Forecast., 29, 466–486,
https://doi.org/10.1175/WAF-D-13-00064.1, 2014.
Federico, S., Bellecci, C., and Colacino, M.: Numerical simulation of
Crotone flood: storm evolution, Il Nuovo Cimento C., 26, 357–371, 2003a.
Federico, S., Bellecci, C., and Colacino, M.: Quantitative precipitation of
the Soverato flood: the role of orography and surface fluxes, Il Nuovo
Cimento C., 26, 7–22, 2003b.
Federico, S., Avolio, E., Bellecci, C., Lavagnini, A., Colacino, M., and Walko, R. L.: Numerical analysis of an intense rainstorm occurred in southern Italy, Nat. Hazards Earth Syst. Sci., 8, 19–35, https://doi.org/10.5194/nhess-8-19-2008, 2008.
Federico, S., Pasqualoni, L., Avolio, E., and Bellecci, C.: Brief communication “Calabria daily rainfall from 1970 to 2006”, Nat. Hazards Earth Syst. Sci., 10, 717–722, https://doi.org/10.5194/nhess-10-717-2010, 2010.
Gascón, E., Laviola, S., Merino, A., and Miglietta, M. M.: Analysis of a
localized flash-flood event over the central Mediterranean, Atmos.
Res., 182, 256–268, https://doi.org/10.1016/j.atmosres.2016.08.007, 2016.
Gochis, D. J., Yu, W., and Yates, D.: The WRF-Hydro model technical
description and user's guide, version 3.0, NCAR Tech. Doc. 120,
https://doi.org/10.5065/D6DN43TQ, 2015.
Gronewold, A. D., Clites, A. H., Hunter, T. S., and Stow, C. G.: An appraisal of
the Great Lakes advanced hydrologic prediction system, J. Great
Lakes Res., 37, 577–583, https://doi.org/10.1016/j.jglr.2011.06.010, 2011.
Gustafsson, N., Nyberg, L., and Omstedt, A.: Coupling of a High-Resolution
Atmospheric Model and an Ocean Model for the Baltic Sea, Mon. Weather
Rev., 126, 2822–2846,
https://doi.org/10.1175/1520-0493(1998)126<2822:COAHRA>2.0.CO;2, 1998.
Gustafsson, N, Janjić, T, Schraff, C, Leuenberger, D., Weissmann, M.,
Reich, H., Brousseau, P., Montmerle, T., Wattrelot, E., Bučánek, A.,
Mile, M., Hamdi, R., Lindskog, M., Barkmeijer, J., Dahlbom, M., Macpherson,
B., Ballard, S., Inverarity, G., Carley, J., Alexander, C., Dowell, D., Liu,
S., Ikuta, Y., and Fujita, T.: Survey of data assimilation methods for
convective-scale numerical weather prediction at operational centres, Q. J. Roy. Meteor. Soc., 144, 1218–1256,
https://doi.org/10.1002/qj.3179, 2018.
Hodur, R. M.: The Naval Research Laboratory's Coupled Ocean/Atmosphere
Mesoscale Prediction System (COAMPS), Mon. Weather Rev., 125, 1414–1430,
https://doi.org/10.1175/1520-0493(1997)125<1414:TNRLSC>2.0.CO;2, 1997.
Huang, X. Y., Xiao, Q., Barker, D. M., Zhang, X., Michalakes, J., Huang, W.,
Henderson, T., Bray, J., Chen, Y., Ma, Z., Dudhia, J., Guo, Y., Zhang, X.,
Won, D. J., Lin, H. C., and Kuo, Y. H.: Four-Dimensional Variational Data
Assimilation for WRF: Formulation and Preliminary Results, Mon. Weather Rev.,
137, 299–314, https://doi.org/10.1175/2008MWR2577.1, 2009.
Hydrologic Engineering Center: HEC-RAS, River Analysis System, Hydraulic
Reference Manual, Version 5.0, U.S. Army Corps of Engineers, Davis,
California, 2016.
Ivatek-Šahdan, Stanešić, S. A., Tudor, M., Plenković, I. O.,
and Janeković, I.: Impact of SST on heavy rainfall events on eastern
Adriatic during SOP1 of HyMeX, Atmos. Res., 200, 36–59, https://doi.org/10.1016/j.atmosres.2017.09.019, 2018.
Janjić, Z. I.: The Step-Mountain Eta Coordinate Model: Further
Developments of the Convection, Viscous Sublayer, and Turbulence Closure
Schemes, Mon. Weather Rev., 122, 927–945,
https://doi.org/10.1175/1520-0493(1994)122< 0927:TSMECM>2.0.CO;2, 1994.
Jansa, A., Alpert, P., Arbogast, P., Buzzi, A., Ivancan-Picek, B., Kotroni, V., Llasat, M. C., Ramis, C., Richard, E., Romero, R., and Speranza, A.: MEDEX: a general overview, Nat. Hazards Earth Syst. Sci., 14, 1965–1984, https://doi.org/10.5194/nhess-14-1965-2014, 2014.
Kain, J. S.: The Kain–Fritsch Convective Parameterization: An Update, J.
Appl. Meteorol., 43, 170–181,
https://doi.org/10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2, 2004.
Katsafados, P., Mavromatidis, E., Papadopoulos, A., and Pytharoulis, I.: Numerical simulation of a deep Mediterranean storm and its sensitivity on sea surface temperature, Nat. Hazards Earth Syst. Sci., 11, 1233–1246, https://doi.org/10.5194/nhess-11-1233-2011, 2011.
Keresturi, E., Wang, Y., Meier, F., Weidle, F., and Wittman, C.: Improving
initial condition perturbations in a convection-permitting ensemble
prediction system, Q. J. Roy. Meteor. Soc.,
145, 993–1012, https://doi.org/10.1002/qj.3473, 2019.
Lahmers, T. M., Gupta, H., Castro, C. L., Gochis, D. J., Yates, D., Dugger, A.,
Goodrich, D., and Hazenberg, P.: Enhancing the Structure of the WRF-Hydro
Hydrologic Model for Semiarid Environments, J. Hydrometeorol., 20, 691–714,
https://doi.org/10.1175/JHM-D-18-0064.1, 2019.
Lebeaupin, C., Ducrocq, V., and Giordani, H.: Sensitivity of torrential rain
events to the sea surface temperature based on high-resolution numerical
forecasts, J. Geophys. Res., 111, D12110,
https://doi.org/10.1029/2005JD006541, 2006.
Lewis, H. W., Castillo Sanchez, J. M., Arnold, A., Fallmann, J., Saulter, A., Graham, J., Bush, M., Siddorn, J., Palmer, T., Lock, A., Edwards, J., Bricheno, L., Martínez-de la Torre, A., and Clark, J.: The UKC3 regional coupled environmental prediction system, Geosci. Model Dev., 12, 2357–2400, https://doi.org/10.5194/gmd-12-2357-2019, 2019a.
Lewis, H. W., Siddorn, J., Castillo Sanchez, J. M., Petch, J., Edwards, J. M., and Smyth, T.: Evaluating the impact of atmospheric forcing and air–sea coupling on near-coastal regional ocean prediction, Ocean Sci., 15, 761–778, https://doi.org/10.5194/os-15-761-2019, 2019b.
Li, J., Chen, Y., Wang, H., Qin, J., Li, J., and Chiao, S.: Extending flood forecasting lead time in a large watershed by coupling WRF QPF with a distributed hydrological model, Hydrol. Earth Syst. Sci., 21, 1279–1294, https://doi.org/10.5194/hess-21-1279-2017, 2017.
Lin, P., Yang, Z.-L. Gochis, D. J., Yu, W., Maidment, D. R., Somos-Valenzuela,
M. A., and David, C. H.: Implementation of a vector-based river network
routing scheme in the community WRF-Hydro modelling framework for flood
discharge simulation, Environ. Modell. Softw., 107, 1–11,
https://doi.org/10.1016/j.envsoft.2018.05.018, 2018.
Liu, J., Bray, M., and Han, D.: Exploring the effect of data assimilation by
WRF-3DVar for numerical rainfall prediction with different types of storm
events, Hydrol. Process., 27, 3627–3640,
https://doi.org/10.1002/hyp.9488, 2013.
Liu, J., Tian, J., Yan, D., Li, C., Yu, F., and Shen, F.: Evaluation of Doppler radar and GTS data assimilation for NWP rainfall prediction of an extreme summer storm in northern China: from the hydrological perspective, Hydrol. Earth Syst. Sci., 22, 4329–4348, https://doi.org/10.5194/hess-22-4329-2018, 2018.
Liu, Y., Weerts, A. H., Clark, M., Hendricks Franssen, H.-J., Kumar, S., Moradkhani, H., Seo, D.-J., Schwanenberg, D., Smith, P., van Dijk, A. I. J. M., van Velzen, N., He, M., Lee, H., Noh, S. J., Rakovec, O., and Restrepo, P.: Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities, Hydrol. Earth Syst. Sci., 16, 3863–3887, https://doi.org/10.5194/hess-16-3863-2012, 2012.
Llasat, M. C., Llasat-Botija, M., Petrucci, O., Pasqua, A. A., Rosselló, J., Vinet, F., and Boissier, L.: Towards a database on societal impact of Mediterranean floods within the framework of the HYMEX project, Nat. Hazards Earth Syst. Sci., 13, 1337–1350, https://doi.org/10.5194/nhess-13-1337-2013, 2013.
Loglisci, N., Qian, M. W., Rachev, N., Cassardo, C., Longhetto, A., Purini,
R., Trivero, P., Ferrarese, S., and Giraud, C.: Development of an
atmosphere-ocean coupled model and its application over the Adriatic Sea
during a severe weather event of Bora wind, J. Geophys. Res., 109, D01102,
https://doi.org/10.1029/2003JD003956, 2004.
Manzato, A., Davolio, S., Miglietta, M. M., Pucillo, A., and Setvák, M.:
12 September 2012: A supercell outbreak in NE Italy?, Atmos. Res.,
153, 98–118, https://doi.org/10.1016/j.atmosres.2014.07.019,
2015.
Matte, D., Laprise, R., Thériault, J. M., and Lucs-Picher, P.: Spatial
spin-up of fine scales in a regional climate model simulation driven by
low-resolution boundary conditions, Clim. Dynam., 49, 563–574,
https://doi.org/10.1007/s00382-016-3358-2, 2017.
Medspiration Service: Access to data and services
available at:
http://cersat.ifremer.fr/thematic-portals/projects/medspiration/access-to-data-and-services, last access: 5 December 2019.
Mellor, G. L. and Yamada, T.: Development of a turbulence closure model for
geophysical fluid problems, Rev. Geophys., 20, 851–875,
https://doi.org/10.1029/RG020i004p00851, 1982.
Merchant, C. J., Filipiak, M. J., Le Borgne, P., Roquet, H., Autret, E.,
Piolle, J. F., and Lavender, S.: Diurnal warm-layer events in the western
Mediterranean and European shelf seas, Geophys. Res. Lett.,
35, L04601, https://doi.org/10.1029/2007GL033071, 2008.
Meredith, E. P., Maraun, D., Semenov, V. A., and Park, W.: Evidence for added
value of convection-permitting models for studying changes in extreme
precipitation, J. Geophys. Res.-Atmos., 120, 12500–12513,
https://doi.org/10.1002/2015JD024238, 2015.
Miglietta, M. M., Moscatello, A., Conte, D., Mannarini, G., Lacorata, G., and
Rotunno R.: Numerical analysis of a Mediterranean “hurricane” over
south-eastern Italy: Sensitivity experiments to sea surface temperature,
Atmos. Res., 101, 412–426, https://doi.org/10.1016/j.atmosres.2011.04.006, 2011.
Miglietta, M. M., Bueso, J., Motola, V., and Pasini, A.: Effect of a positive
Sea Surface Temperature anomaly on a Mediterranean tornadic supercell,
Sci. Rep.-UK, 7, 12828, https://doi.org/10.1038/s41598-017-13170-0, 2017.
Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S.
A.: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated
correlated-k model for the longwave, J. Geophys. Res., 102, 16663–16682, https://doi.org/10.1029/97JD00237, 1997.
NCEP: NCEP ADP Global Upper Air Observational Weather Data, October 1999–continuing, https://doi.org/10.5065/39C5-Z211, 2004.
Pagano, T. C., Wood, A. W., Ramos, M. H., Cloke, H. L., Pappenberger, F.,
Clark, M. P., Cranston, M., Kavetski, D., Mathevet, T., Sorooshian, S., and
Verkade, J. S.: Challenges of operational river forecasting, J.
Hydrometeorol., 15, 1692–1707,
https://doi.org/10.1175/JHM-D-13-0188.1, 2014.
Pastor, F., Valiente, J. A., and Estrela, M. J.: Sea surface temperature and torrential rains in the Valencia region: modelling the role of recharge areas, Nat. Hazards Earth Syst. Sci., 15, 1677–1693, https://doi.org/10.5194/nhess-15-1677-2015, 2015.
Petrucci, O., Salvati, P., Aceto, L., Bianchi, C., Pasqua, A. A., Rossi, M.,
and Guzzetti, F.: The Vulnerability of People to Damaging Hydrogeological
Events in the Calabria Region (Southern Italy), Int. J. Environ. Res. Pu., 15, 48, https://doi.org/10.3390/ijerph15010048,
2018.
Pullen, J., Doyle, J. D., Hodur, R., Ogston, A., Book, J. W., Perkins, H.,
and Signell, R.: Coupled ocean-atmosphere nested modelling of the Adriatic
Sea during winter and spring 2001, J. Geophys. Res., 108, 3320,
https://doi.org/10.1029/2003JC001780, 2003.
Pytharoulis, I.: Analysis of a Mediterranean tropical-like cyclone and its
sensitivity to the sea surface temperatures, Atmos. Res., 208,
167–179, https://doi.org/10.1016/j.atmosres.2017.08.009, 2018.
Rainaud, R., Lebeaupin Brossier, C., Ducrocq, V., Giordani, H., Nuret, M.,
Fourrié, N., Bouin, M., Taupier-Letage, I., and Legain, D.:
Characterization of air–sea exchanges over the Western Mediterranean Sea
during HyMeX SOP1 using the AROME–WMED model, Q. J. Roy. Meteor. Soc., 142,
173–187, https://doi.org/10.1002/qj.2480, 2016.
Ren, X., Perrie, W., Long, Z., and Gyakum, J.: Atmosphere–Ocean Coupled
Dynamics of Cyclones in the Midlatitudes, Mon. Weather Rev., 132, 2432–2451, https://doi.org/10.1175/1520-0493(2004)132<2432:ACDOCI>2.0.CO;2, 2004.
Renard, B., Kavetski, D., Kuczera, G., Thyer, M., and Franks, S. W.:
Understanding predictive uncertainty in hydrologic modelling: The challenge
of identifying input and structural errors, Water Resour. Res., 46, W05521,
https://doi.org/10.1029/2009WR008328, 2010.
Ricchi, A., Miglietta, M. M., Bonaldo, D., Cioni, G., Rizza, U., and Carniel,
S.: Multi-Physics Ensemble versus Atmosphere–Ocean Coupled Model
Simulations for a Tropical-Like Cyclone in the Mediterranean Sea,
Atmosphere, 10, 202, https://doi.org/10.3390/atmos10040202,
2019.
Robinson, I., Piolle, J. F., Leborgne, P., Poulter, D., Donlon, C., and
Arino, O.: Widening the application of AATSR SST data to operational tasks
through the Medspiration Service, Remote Sens. Environ., 116,
126–139, https://doi.org/10.1016/j.rse.2010.12.019, 2012.
Romaniello, V., Oddo, P., Tonani, M., Torrisi, L., Grandi, A., and Pinardi,
N.: Impact of Sea Surface Temperature on COSMO Forecasts of a Medicane over
the Western Mediterranean Sea, Journal of earth science and engineering, 5,
338–348, https://doi.org/10.17265/2159-581X/2015.06.002, 2015.
Ruti, P. M., Somot, S., Giorgi, F., Dubois, C., Flaounas, E., Obermann, A.,
Dell'Aquila, A., Pisacane, G., Harzallah, A., Lombardi, E., Ahrens, B.,
Akhtar, N., Alias, A., Arsouze, T., Aznar, R., Bastin, S., Bartholy, J.,
Béranger, K., Beuvier, J., Bouffies-Cloché, S., Brauch, J., Cabos,
W., Calmanti, S., Calvet, J., Carillo, A., Conte, D., Coppola, E.,
Djurdjevic, V., Drobinski, P., Elizalde-Arellano, A., Gaertner, M.,
Galàn, P., Gallardo, C., Gualdi, S., Goncalves, M., Jorba, O.,
Jordà, G., L'Heveder, B., Lebeaupin-Brossier, C., Li, L., Liguori, G.,
Lionello, P., Maciàs, D., Nabat, P., Önol, B., Raikovic, B., Ramage,
K., Sevault, F., Sannino, G., Struglia, M. V., Sanna, A., Torma, C., and
Vervatis, V.: Med-CORDEX Initiative for Mediterranean Climate Studies, B.
Am. Meteorol. Soc., 97, 1187–1208,
https://doi.org/10.1175/BAMS-D-14-00176.1, 2016.
Salas, F. R., Somos-Valenzuela, M. A., Dugger, A., Maidment, D. R., Gochis,
D. J., David, C. H., Yu, W., Ding, D., Clark, E. P., and Noman, N.: Towards
Real-Time Continental Scale Streamflow Simulation in Continuous and Discrete
Space, J. Am. Water Resour. As., 54, 7–27, https://doi.org/10.1111/1752-1688.12586, 2018.
Senatore, A., Mendicino, G., Knoche, H. R., and Kunstmann, H.: Sensitivity of
Modelled Precipitation to Sea Surface Temperature in Regions with Complex
Topography and Coastlines: A Case Study for the Mediterranean, J. Hydrometeorol., 15, 2370–2396,
https://doi.org/10.1175/JHM-D-13-089.1, 2014.
Senatore, A., Mendicino, G., Gochis, D. J., Yu, W., Yates, D. N., and
Kunstmann, H.: Fully coupled atmosphere-hydrology simulations for the
central Mediterranean: Impact of enhanced hydrological parameterization for
short and long time scales, J. Adv. Model. Earth Sy., 7, 1693–1715,
https://doi.org/10.1002/2015MS000510, 2015.
Silvestro, F., Rebora, N., Cummings, G., and Ferraris, L.: Dealing with flash
floods using a hydrological nowcasting chain, J. Flood Risk Manag., 10,
446–462, https://doi.org/10.1111/jfr3.12161, 2017.
Sinclair, S. and Pegram, G.: Combining radar and rain gauge rainfall
estimates using conditional merging, Atmos. Sci. Lett., 6, 19–22,
https://doi.org/10.1002/asl.85, 2005.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Duda,
M. G., Huang, X.-Y., Wang, W., and Powers, J. G.: A Description of the
Advanced Research WRF Version 3, NCAR Tech. Note NCAR/TN-475+STR, 113 pp.,
https://doi.org/10.5065/D68S4MVH, 2008.
Somot, S., Ruti, P., Ahrens, B. Coppola, E., Jordà G., Sannino, G., and
Solmon F.: Editorial for the Med-CORDEX special issue, Clim. Dynam., 51,
771–777, https://doi.org/10.1007/s00382-018-4325-x, 2018.
Stocchi, P. and Davolio, S.: Intense air-sea exchanges and heavy orographic
precipitation over Italy: The role of Adriatic sea surface temperature
uncertainty, Atmos. Res., 196, 62–82,
https://doi.org/10.1016/j.atmosres.2017.06.004, 2017.
Sun, J., Wang, H., Tong, W., Zhang, Y., Lin, C., and Xu, D.: Comparison of
the Impacts of Momentum Control Variables on High-Resolution Variational
Data Assimilation and Precipitation Forecasting, Mon. Weather Rev., 144,
149–169, https://doi.org/10.1175/MWR-D-14-00205.1, 2016.
Tao, J., Wu, D., Gourley, J., Zhang, S. Q., Crow, W., Peters-Lidard, C., and
Barros, A. P.: Operational hydrological forecasting during the IPHEx-IOP
campaign – Meet the challenge, J. Hydrol., 541,
434–456, https://doi.org/10.1016/j.jhydrol.2016.02.019, 2016.
Termonia, P., Deckmyn, A., and Hamdi, R.: Study of the lateral boundary
condition temporal resolution problem and a proposed solution by means of
boundary error restarts, Mon. Weather Rev., 137, 3551–3566, https://doi.org/10.1175/2009MWR2964.1, 2009.
Tewari, M., Chen, F., Wang, W., Dudhia, J., LeMone, M. A., Mitchell, K., Ek,
M., Gayno, G., Wegiel, J., and Cuenca, R. H.: Implementation and verification
of the unified NOAH land surface model in the WRF model. 20th conference on
weather analysis and forecasting/16th conference on numerical weather
prediction, 11–15, 2004.
Thiruvengadam, P., Indu, J., and Ghosh, S.: Assimilation of Doppler Weather
Radar data with a regional WRF-3DVAR system: Impact of control variables on
forecasts of a heavy rainfall case, Adv. Water Resour., 126, 24–39,
https://doi.org/10.1016/j.advwatres.2019.02.004, 2019.
Verri, G., Pinardi, N., Gochis, D., Tribbia, J., Navarra, A., Coppini, G., and Vukicevic, T.: A meteo-hydrological modelling system for the reconstruction of river runoff: the case of the Ofanto river catchment, Nat. Hazards Earth Syst. Sci., 17, 1741–1761, https://doi.org/10.5194/nhess-17-1741-2017, 2017.
Wilks, S. D.: Statistical Methods in the Atmospheric Sciences, International
Geophysics Series, 59, chap. XI,
https://doi.org/10.1016/S0074-6142(06)80036-7, 2006.
Yucel, I., Onen, A., Yilmaz, K., and Gochis, D. J.: Calibration and
Evaluation of a Flood Forecasting System: Utility of Numerical Weather
Prediction Model, Data Assimilation and Satellite-Based Rainfall, J.
Hydrol., 523, 49–66,
https://doi.org/10.1016/j.jhydrol.2015.01.042, 2015.
Zeng, X. and Beljaars, A.: A prognostic scheme of sea surface skin
temperature for modelling and data assimilation, Geophys. Res. Lett., 32, L14605, https://doi.org/10.1029/2005GL023030, 2005.
Short summary
This paper addresses the question of how different resolutions of sea surface temperature (SST) representation affect regional operational hydro-meteorological forecasting chains over coastal Mediterranean catchments by analysing two different severe events that affected southern Italy in 2015. Even if the benefits of high-resolution SST representation are hidden by other sources of uncertainty, the experiments highlight that the impact is non-negligible in most cases.
This paper addresses the question of how different resolutions of sea surface temperature (SST)...
