Articles | Volume 23, issue 3
https://doi.org/10.5194/hess-23-1611-2019
© Author(s) 2019. 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-23-1611-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Mar 2019
Research article |
| 19 Mar 2019
| 19 Mar 2019
Projected decrease in wintertime bearing capacity on different forest and soil types in Finland under a warming climate
Finnish Meteorological Institute, 00101 Helsinki, Finland
Ari Venäläinen
Finnish Meteorological Institute, 00101 Helsinki, Finland
Matti Kämäräinen
Finnish Meteorological Institute, 00101 Helsinki, Finland
Antti Asikainen
Natural Resources Institute Finland, 80100 Joensuu, Finland
Juha Laitila
Natural Resources Institute Finland, 80100 Joensuu, Finland
Perttu Anttila
Natural Resources Institute Finland, 80100 Joensuu, Finland
Heli Peltola
School of Forest Sciences, University of Eastern Finland, 80101 Joensuu, Finland
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A natural hazard is a naturally occurring extreme event with a negative effect on people, society, or the environment; major events in the study area include wind storms, extreme waves, high and low sea level, ice ridging, heavy precipitation, sea-effect snowfall, river floods, heat waves, ice seasons, and drought. In the future, an increase in sea level, extreme precipitation, heat waves, and phytoplankton blooms is expected, and a decrease in cold spells and severe ice winters is anticipated.
Hannu Valta, Ilari Lehtonen, Terhi K. Laurila, Ari Venäläinen, Mikko Laapas, and Hilppa Gregow
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A comparison of forest damage with windstorm intensity in Finland suggests that the volume of forest damage follows approximately a power relation as a function of wind gust speed with a power of ~10. This tentative estimate holds for typical windstorms having mainly westerly winds and affecting large areas in southern and central parts of Finland. The estimate can be utilized when preparing impact-based predictions of windstorms.
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The rapidly growing forest-based bioeconomy calls for increasing wood harvesting intensity, and an increase in thinning and a final felling area. This may increase wind damage risks at the upwind edges of new cleared felling areas and thinned stands. Efficient wind risk assessment is needed. We demonstrate a pragmatic and computationally feasible method for identifying at a high spatial resolution those locations having the highest forest wind damage risks.
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Nat. Hazards Earth Syst. Sci., 16, 2259–2271, https://doi.org/10.5194/nhess-16-2259-2016, https://doi.org/10.5194/nhess-16-2259-2016, 2016
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We studied the impact of projected climate change on the risk of snow-induced forest damage in Finland. Although winters are projected to become milder over the whole of Finland, our results suggest than in eastern and northern Finland the risk may increase while in southern and western parts of the country it is projected to decrease. This indicates that there is increasing need to consider the potential of snow damage in forest management in eastern and northern Finland.
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Ari Venäläinen, Mikko Laapas, Pentti Pirinen, Matti Horttanainen, Reijo Hyvönen, Ilari Lehtonen, Päivi Junila, Meiting Hou, and Heli M. Peltola
Earth Syst. Dynam., 8, 529–545, https://doi.org/10.5194/esd-8-529-2017, https://doi.org/10.5194/esd-8-529-2017, 2017
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The rapidly growing forest-based bioeconomy calls for increasing wood harvesting intensity, and an increase in thinning and a final felling area. This may increase wind damage risks at the upwind edges of new cleared felling areas and thinned stands. Efficient wind risk assessment is needed. We demonstrate a pragmatic and computationally feasible method for identifying at a high spatial resolution those locations having the highest forest wind damage risks.
Otto Hyvärinen, Antti Mäkelä, Matti Kämäräinen, and Hilppa Gregow
Adv. Sci. Res., 14, 89–93, https://doi.org/10.5194/asr-14-89-2017, https://doi.org/10.5194/asr-14-89-2017, 2017
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Matti Kämäräinen, Otto Hyvärinen, Kirsti Jylhä, Andrea Vajda, Simo Neiglick, Jaakko Nuottokari, and Hilppa Gregow
Nat. Hazards Earth Syst. Sci., 17, 243–259, https://doi.org/10.5194/nhess-17-243-2017, https://doi.org/10.5194/nhess-17-243-2017, 2017
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Freezing rain is a high-impact wintertime weather phenomenon. The direct damage it causes to critical infrastructure (transportation, communication and energy) and forestry can be substantial. In this work a method for estimating the occurrence of freezing rain was evaluated and used to derive the climatology. The method was able to accurately reproduce the observed, spatially aggregated annual variability. The highest frequencies of freezing rain were found in eastern and central Europe.
Ilari Lehtonen, Matti Kämäräinen, Hilppa Gregow, Ari Venäläinen, and Heli Peltola
Nat. Hazards Earth Syst. Sci., 16, 2259–2271, https://doi.org/10.5194/nhess-16-2259-2016, https://doi.org/10.5194/nhess-16-2259-2016, 2016
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Nat. Hazards Earth Syst. Sci., 16, 239–253, https://doi.org/10.5194/nhess-16-239-2016, https://doi.org/10.5194/nhess-16-239-2016, 2016
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The number of large forest fires in Finland will most likely increase during the twenty-first century in response to projected climate change. This would increase the risk that some of the fires could develop into real conflagrations which have become almost extinct in Finland due to effective fire suppression. However, our results show considerable inter-model variability, demonstrating the large uncertainty related to the rate of the projected change in forest-fire danger.
O. Hyvärinen, L. Mtilatila, K. Pilli-Sihvola, A. Venäläinen, and H. Gregow
Adv. Sci. Res., 12, 31–36, https://doi.org/10.5194/asr-12-31-2015, https://doi.org/10.5194/asr-12-31-2015, 2015
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We assessed the quality of the seasonal precipitation forecasts issued by Regional Climate Outlook Forum for Malawi and Zambia. The forecasts, issued in August, are of rainy season rainfall accumulations for early and late season. The forecasts are rather well-calibrated, but cannot discriminate between different events. But these results can be too pessimistic, because forecasts have gone through much development lately, and forecasts using current methodology might have performed better.
N. Korhonen, A. Venäläinen, H. Seppä, and H. Järvinen
Clim. Past, 10, 1489–1500, https://doi.org/10.5194/cp-10-1489-2014, https://doi.org/10.5194/cp-10-1489-2014, 2014
A. Venäläinen, N. Korhonen, O. Hyvärinen, N. Koutsias, F. Xystrakis, I. R. Urbieta, and J. M. Moreno
Nat. Hazards Earth Syst. Sci., 14, 1477–1490, https://doi.org/10.5194/nhess-14-1477-2014, https://doi.org/10.5194/nhess-14-1477-2014, 2014
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Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
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Identification of compound drought and heatwave events on a daily scale and across four seasons
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Hydrol. Earth Syst. Sci., 29, 109–125, https://doi.org/10.5194/hess-29-109-2025, https://doi.org/10.5194/hess-29-109-2025, 2025
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Water resources are fundamental for the social, economic, and natural development of (semi-)arid regions. Precipitation decreases due to climate change obligate us to find new water resources. Fog harvesting (FH) emerges as a complementary resource in regions where it is abundant but untapped. This research proposes a model to estimate FH potential in coastal (semi-)arid regions. This model could have broader applicability worldwide in regions where FH could be a viable water source.
Kyle R. Mankin, Sushant Mehan, Timothy R. Green, and David M. Barnard
Hydrol. Earth Syst. Sci., 29, 85–108, https://doi.org/10.5194/hess-29-85-2025, https://doi.org/10.5194/hess-29-85-2025, 2025
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We assess 63 gridded ground (G), satellite (S), and reanalysis (R) climate datasets. Higher-density station data and less-hilly terrain improved climate data. In mountainous and humid regions, dataset types performed similarly; however, R outperformed G when underlying data had low station density. G outperformed S or R datasets, although better streamflow modeling did not always follow. Hydrologic analyses need datasets that better represent climate variable dependencies and complex topography.
Rasmus E. Benestad, Kajsa M. Parding, and Andreas Dobler
Hydrol. Earth Syst. Sci., 29, 45–65, https://doi.org/10.5194/hess-29-45-2025, https://doi.org/10.5194/hess-29-45-2025, 2025
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We present a new method to calculate the chance of heavy downpour and the maximum rainfall expected over a 25-year period. It is designed to analyse global climate models' reproduction of past and future climates. For the Nordic countries, it projects a wetter climate in the future with increased intensity but not necessarily more wet days. The analysis also shows that rainfall intensity is sensitive to future greenhouse gas emissions, while the number of wet days appears to be less affected.
Chien-Yu Tseng, Li-Pen Wang, and Christian Onof
Hydrol. Earth Syst. Sci., 29, 1–25, https://doi.org/10.5194/hess-29-1-2025, https://doi.org/10.5194/hess-29-1-2025, 2025
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This study presents a new algorithm to model convective storms. We used advanced tracking methods to analyse 165 storm events in Birmingham (UK) and reconstruct storm cell life cycles. We found that cell properties like intensity and size are interrelated and vary over time. The new algorithm, based on vine copulas, accurately simulates these properties and their evolution. It also integrates an exponential shape function for realistic rainfall patterns, enhancing its hydrological applicability.
Kenza Tazi, Andrew Orr, Javier Hernandez-González, Scott Hosking, and Richard E. Turner
Hydrol. Earth Syst. Sci., 28, 4903–4925, https://doi.org/10.5194/hess-28-4903-2024, https://doi.org/10.5194/hess-28-4903-2024, 2024
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This work aims to improve the understanding of precipitation patterns in High-mountain Asia, a crucial water source for around 1.9 billion people. Through a novel machine learning method, we generate high-resolution precipitation predictions, including the likelihoods of floods and droughts. Compared to state-of-the-art methods, our method is simpler to implement and more suitable for small datasets. The method also shows accuracy comparable to or better than existing benchmark datasets.
Peter E. Levy and the COSMOS-UK team
Hydrol. Earth Syst. Sci., 28, 4819–4836, https://doi.org/10.5194/hess-28-4819-2024, https://doi.org/10.5194/hess-28-4819-2024, 2024
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Having accurate up-to-date maps of soil moisture is important for many purposes. However, current modelled and remotely sensed maps are rather coarse and not very accurate. Here, we demonstrate a simple but accurate approach that is closely linked to direct measurements of soil moisture at a network sites across the UK, to the water balance (precipitation minus drainage and evaporation) measured at a large number of catchments (1212) and to remotely sensed satellite estimates.
Amy C. Green, Chris Kilsby, and András Bárdossy
Hydrol. Earth Syst. Sci., 28, 4539–4558, https://doi.org/10.5194/hess-28-4539-2024, https://doi.org/10.5194/hess-28-4539-2024, 2024
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Weather radar is a crucial tool in rainfall estimation, but radar rainfall estimates are subject to many error sources, with the true rainfall field unknown. A flexible model for simulating errors relating to the radar rainfall estimation process is implemented, inverting standard processing methods. This flexible and efficient model performs well in generating realistic weather radar images visually for a large range of event types.
Peng Huang, Agnès Ducharne, Lucia Rinchiuso, Jan Polcher, Laure Baratgin, Vladislav Bastrikov, and Eric Sauquet
Hydrol. Earth Syst. Sci., 28, 4455–4476, https://doi.org/10.5194/hess-28-4455-2024, https://doi.org/10.5194/hess-28-4455-2024, 2024
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We conducted a high-resolution hydrological simulation from 1959 to 2020 across France. We used a simple trial-and-error calibration to reduce the biases of the simulated water budget compared to observations. The selected simulation satisfactorily reproduces water fluxes, including their spatial contrasts and temporal trends. This work offers a reliable historical overview of water resources and a robust configuration for climate change impact analysis at the nationwide scale of France.
He Sun, Tandong Yao, Fengge Su, Wei Yang, and Deliang Chen
Hydrol. Earth Syst. Sci., 28, 4361–4381, https://doi.org/10.5194/hess-28-4361-2024, https://doi.org/10.5194/hess-28-4361-2024, 2024
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Our findings show that runoff in the Yarlung Zangbo (YZ) basin is primarily driven by rainfall, with the largest glacier runoff contribution in the downstream sub-basin. Annual runoff increased in the upper stream but decreased downstream due to varying precipitation patterns. It is expected to rise throughout the 21st century, mainly driven by increased rainfall.
Louise Arnal, Martyn P. Clark, Alain Pietroniro, Vincent Vionnet, David R. Casson, Paul H. Whitfield, Vincent Fortin, Andrew W. Wood, Wouter J. M. Knoben, Brandi W. Newton, and Colleen Walford
Hydrol. Earth Syst. Sci., 28, 4127–4155, https://doi.org/10.5194/hess-28-4127-2024, https://doi.org/10.5194/hess-28-4127-2024, 2024
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Forecasting river flow months in advance is crucial for water sectors and society. In North America, snowmelt is a key driver of flow. This study presents a statistical workflow using snow data to forecast flow months ahead in North American snow-fed rivers. Variations in the river flow predictability across the continent are evident, raising concerns about future predictability in a changing (snow) climate. The reproducible workflow hosted on GitHub supports collaborative and open science.
Annalina Lombardi, Barbara Tomassetti, Valentina Colaiuda, Ludovico Di Antonio, Paolo Tuccella, Mario Montopoli, Giovanni Ravazzani, Frank Silvio Marzano, Raffaele Lidori, and Giulia Panegrossi
Hydrol. Earth Syst. Sci., 28, 3777–3797, https://doi.org/10.5194/hess-28-3777-2024, https://doi.org/10.5194/hess-28-3777-2024, 2024
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The accurate estimation of precipitation and its spatial variability within a watershed is crucial for reliable discharge simulations. The study is the first detailed analysis of the potential usage of the cellular automata technique to merge different rainfall data inputs to hydrological models. This work shows an improvement in the performance of hydrological simulations when satellite and rain gauge data are merged.
Beijing Fang, Emanuele Bevacqua, Oldrich Rakovec, and Jakob Zscheischler
Hydrol. Earth Syst. Sci., 28, 3755–3775, https://doi.org/10.5194/hess-28-3755-2024, https://doi.org/10.5194/hess-28-3755-2024, 2024
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We use grid-based runoff from a hydrological model to identify large spatiotemporally connected flood events in Europe, assess extent trends over the last 70 years, and attribute the trends to different drivers. Our findings reveal a general increase in flood extent, with regional variations driven by diverse factors. The study not only enables a thorough examination of flood events across multiple basins but also highlights the potential challenges arising from changing flood extents.
Alexandre Devers, Jean-Philippe Vidal, Claire Lauvernet, Olivier Vannier, and Laurie Caillouet
Hydrol. Earth Syst. Sci., 28, 3457–3474, https://doi.org/10.5194/hess-28-3457-2024, https://doi.org/10.5194/hess-28-3457-2024, 2024
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Daily streamflow series for 661 near-natural French catchments are reconstructed over 1871–2012 using two ensemble datasets: HydRE and HydREM. They include uncertainties coming from climate forcings, streamflow measurement, and hydrological model error (for HydrREM). Comparisons with other hydrological reconstructions and independent/dependent observations show the added value of the two reconstructions in terms of quality, uncertainty estimation, and representation of extremes.
María Agostina Bracalenti, Omar V. Müller, Miguel A. Lovino, and Ernesto Hugo Berbery
Hydrol. Earth Syst. Sci., 28, 3281–3303, https://doi.org/10.5194/hess-28-3281-2024, https://doi.org/10.5194/hess-28-3281-2024, 2024
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The Gran Chaco is a large, dry forest in South America that has been heavily deforested, particularly in the dry Chaco subregion. This deforestation, mainly driven by the expansion of the agricultural frontier, has changed the land's characteristics, affecting the local and regional climate. The study reveals that deforestation has resulted in reduced precipitation, soil moisture, and runoff, and if intensive agriculture continues, it could make summers in this arid region even drier and hotter.
Rutong Liu, Jiabo Yin, Louise Slater, Shengyu Kang, Yuanhang Yang, Pan Liu, Jiali Guo, Xihui Gu, Xiang Zhang, and Aliaksandr Volchak
Hydrol. Earth Syst. Sci., 28, 3305–3326, https://doi.org/10.5194/hess-28-3305-2024, https://doi.org/10.5194/hess-28-3305-2024, 2024
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Climate change accelerates the water cycle and alters the spatiotemporal distribution of hydrological variables, thus complicating the projection of future streamflow and hydrological droughts. We develop a cascade modeling chain to project future bivariate hydrological drought characteristics over China, using five bias-corrected global climate model outputs under three shared socioeconomic pathways, five hydrological models, and a deep-learning model.
Lu Su, Dennis P. Lettenmaier, Ming Pan, and Benjamin Bass
Hydrol. Earth Syst. Sci., 28, 3079–3097, https://doi.org/10.5194/hess-28-3079-2024, https://doi.org/10.5194/hess-28-3079-2024, 2024
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We fine-tuned the variable infiltration capacity (VIC) and Noah-MP models across 263 river basins in the Western US. We developed transfer relationships to similar basins and extended the fine-tuned parameters to ungauged basins. Both models performed best in humid areas, and the skills improved post-calibration. VIC outperforms Noah-MP in all but interior dry basins following regionalization. VIC simulates annual mean streamflow and high flow well, while Noah-MP performs better for low flows.
Iván Noguera, Jamie Hannaford, and Maliko Tanguy
EGUsphere, https://doi.org/10.5194/egusphere-2024-1969, https://doi.org/10.5194/egusphere-2024-1969, 2024
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In this study, we present a detailed characterisation of flash drought in United Kingdom over the period 1969–2021.The spatiotemporal distribution of flash droughts is highly variable, with important regional and seasonal contrasts. In the UK, flash drought occurrence responds primarily to precipitation variability, although the atmospheric evaporative demand (AED) is important as a secondary driver. The atmospheric and oceanic conditions during flash droughts development were also analyzed.
Geert Lenderink, Nikolina Ban, Erwan Brisson, Ségolène Berthou, Virginia Edith Cortés-Hernández, Elizabeth Kendon, Hayley Fowler, and Hylke de Vries
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-132, https://doi.org/10.5194/hess-2024-132, 2024
Revised manuscript accepted for HESS
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Future extreme rainfall events are influenced by changes in both absolute and relative humidity. The impact of increasing absolute humidity is reasonably well understood, but the role of relative humidity decreases over land remains largely unknown. Using hourly observations from France and The Netherlands, we find that lower relative humidity generally leads to more intense rainfall extremes. This relation is only captured well in recently developed convection-permitting climate models.
Valentin Dura, Guillaume Evin, Anne-Catherine Favre, and David Penot
Hydrol. Earth Syst. Sci., 28, 2579–2601, https://doi.org/10.5194/hess-28-2579-2024, https://doi.org/10.5194/hess-28-2579-2024, 2024
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The increase in precipitation as a function of elevation is poorly understood in areas with complex topography. In this article, the reproduction of these orographic gradients is assessed with several precipitation products. The best product is a simulation from a convection-permitting regional climate model. The corresponding seasonal gradients vary significantly in space, with higher values for the first topographical barriers exposed to the dominant air mass circulations.
Mohammad Ali Farmani, Ali Behrangi, Aniket Gupta, Ahmad Tavakoly, Matthew Geheran, and Guo-Yue Niu
EGUsphere, https://doi.org/10.5194/egusphere-2024-1256, https://doi.org/10.5194/egusphere-2024-1256, 2024
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This study investigates how key hydrological processes enhance soil water retention and release in land surface models, crucial for accurate weather and climate forecasting. Experiments show that soil hydraulics effectively sustain soil moisture. Additionally, allowing surface water ponding and improving soil permeability through macropores both enhance soil moisture persistency in the models.
Caroline Legrand, Benoît Hingray, Bruno Wilhelm, and Martin Ménégoz
Hydrol. Earth Syst. Sci., 28, 2139–2166, https://doi.org/10.5194/hess-28-2139-2024, https://doi.org/10.5194/hess-28-2139-2024, 2024
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Climate change is expected to increase flood hazard worldwide. The evolution is typically estimated from multi-model chains, where regional hydrological scenarios are simulated from weather scenarios derived from coarse-resolution atmospheric outputs of climate models. We show that two such chains are able to reproduce, from an atmospheric reanalysis, the 1902–2009 discharge variations and floods of the upper Rhône alpine river, provided that the weather scenarios are bias-corrected.
Nenghan Wan, Xiaomao Lin, Roger A. Pielke Sr., Xubin Zeng, and Amanda M. Nelson
Hydrol. Earth Syst. Sci., 28, 2123–2137, https://doi.org/10.5194/hess-28-2123-2024, https://doi.org/10.5194/hess-28-2123-2024, 2024
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Global warming occurs at a rate of 0.21 K per decade, resulting in about 9.5 % K−1 of water vapor response to temperature from 1993 to 2021. Terrestrial areas experienced greater warming than the ocean, with a ratio of 2 : 1. The total precipitable water change in response to surface temperature changes showed a variation around 6 % K−1–8 % K−1 in the 15–55° N latitude band. Further studies are needed to identify the mechanisms leading to different water vapor responses.
Kyungmin Sung, Max C. A. Torbenson, and James H. Stagge
Hydrol. Earth Syst. Sci., 28, 2047–2063, https://doi.org/10.5194/hess-28-2047-2024, https://doi.org/10.5194/hess-28-2047-2024, 2024
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This study examines centuries of nonstationary trends in meteorological drought and pluvial climatology. A novel approach merges tree-ring proxy data (North American Seasonal Precipitation Atlas – NASPA) with instrumental precipitation datasets by temporally downscaling proxy data, correcting biases, and analyzing shared trends in normal and extreme precipitation anomalies. We identify regions experiencing recent unprecedented shifts towards drier or wetter conditions and shifts in seasonality.
Baoying Shan, Niko E. C. Verhoest, and Bernard De Baets
Hydrol. Earth Syst. Sci., 28, 2065–2080, https://doi.org/10.5194/hess-28-2065-2024, https://doi.org/10.5194/hess-28-2065-2024, 2024
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This study developed a convenient and new method to identify the occurrence of droughts, heatwaves, and co-occurring droughts and heatwaves (CDHW) across four seasons. Using this method, we could establish the start and/or end dates of drought (or heatwave) events. We found an increase in the frequency of heatwaves and CDHW events in Belgium caused by climate change. We also found that different months have different chances of CDHW events.
Alexis Bédard-Therrien, François Anctil, Julie M. Thériault, Olivier Chalifour, Fanny Payette, Alexandre Vidal, and Daniel F. Nadeau
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-78, https://doi.org/10.5194/hess-2024-78, 2024
Revised manuscript accepted for HESS
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Observations from a study site network in eastern Canada showed a temperature interval the overlapping probabilities for rain, snow or a mix of both. Models using random forest algorithms were developed to classify the precipitation phase using meteorological data to evaluate operational applications. They showed significantly improved phase classification compared to benchmarks, but misclassification led to costlier errors. However, accurate prediction of mixed phase remains a challenge.
Lorenzo Silvestri, Miriam Saraceni, Giulia Passadore, and Paolina Bongioannini Cerlini
EGUsphere, https://doi.org/10.5194/egusphere-2024-889, https://doi.org/10.5194/egusphere-2024-889, 2024
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This work demonstrates that seasonal forecasts of soil moisture are a valuable resource for groundwater management in certain areas of the Central Mediterranean. In particular, they show significant correlation coefficients and forecast skill for the deepest soil moisture at 289 cm depth. Wet and dry events can be predicted 6 months in advance and, in general, dry events are better captured than wet events.
Georgina M. Falster, Nicky M. Wright, Nerilie J. Abram, Anna M. Ukkola, and Benjamin J. Henley
Hydrol. Earth Syst. Sci., 28, 1383–1401, https://doi.org/10.5194/hess-28-1383-2024, https://doi.org/10.5194/hess-28-1383-2024, 2024
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Multi-year droughts have severe environmental and economic impacts, but the instrumental record is too short to characterise multi-year drought variability. We assessed the nature of Australian multi-year droughts using simulations of the past millennium from 11 climate models. We show that multi-decadal
megadroughtsare a natural feature of the Australian hydroclimate. Human-caused climate change is also driving a tendency towards longer droughts in eastern and southwestern Australia.
Urmin Vegad, Yadu Pokhrel, and Vimal Mishra
Hydrol. Earth Syst. Sci., 28, 1107–1126, https://doi.org/10.5194/hess-28-1107-2024, https://doi.org/10.5194/hess-28-1107-2024, 2024
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A large population is affected by floods, which leave their footprints through human mortality, migration, and damage to agriculture and infrastructure, during almost every summer monsoon season in India. Despite the massive damage of floods, sub-basin level flood risk assessment is still in its infancy and needs to be improved. Using hydrological and hydrodynamic models, we reconstructed sub-basin level observed floods for the 1901–2020 period.
Qi Sun, Patrick Olschewski, Jianhui Wei, Zhan Tian, Laixiang Sun, Harald Kunstmann, and Patrick Laux
Hydrol. Earth Syst. Sci., 28, 761–780, https://doi.org/10.5194/hess-28-761-2024, https://doi.org/10.5194/hess-28-761-2024, 2024
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Tropical cyclones (TCs) often cause high economic loss due to heavy winds and rainfall, particularly in densely populated regions such as the Pearl River Delta (China). This study provides a reference to set up regional climate models for TC simulations. They contribute to a better TC process understanding and assess the potential changes and risks of TCs in the future. This lays the foundation for hydrodynamical modelling, from which the cities' disaster management and defence could benefit.
Simon Parry, Jonathan D. Mackay, Thomas Chitson, Jamie Hannaford, Eugene Magee, Maliko Tanguy, Victoria A. Bell, Katie Facer-Childs, Alison Kay, Rosanna Lane, Robert J. Moore, Stephen Turner, and John Wallbank
Hydrol. Earth Syst. Sci., 28, 417–440, https://doi.org/10.5194/hess-28-417-2024, https://doi.org/10.5194/hess-28-417-2024, 2024
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We studied drought in a dataset of possible future river flows and groundwater levels in the UK and found different outcomes for these two sources of water. Throughout the UK, river flows are likely to be lower in future, with droughts more prolonged and severe. However, whilst these changes are also found in some boreholes, in others, higher levels and less severe drought are indicated for the future. This has implications for the future balance between surface water and groundwater below.
Francesco Marra, Marika Koukoula, Antonio Canale, and Nadav Peleg
Hydrol. Earth Syst. Sci., 28, 375–389, https://doi.org/10.5194/hess-28-375-2024, https://doi.org/10.5194/hess-28-375-2024, 2024
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We present a new physical-based method for estimating extreme sub-hourly precipitation return levels (i.e., intensity–duration–frequency, IDF, curves), which are critical for the estimation of future floods. The proposed model, named TENAX, incorporates temperature as a covariate in a physically consistent manner. It has only a few parameters and can be easily set for any climate station given sub-hourly precipitation and temperature data are available.
Alexander Gelfan, Andrey Panin, Andrey Kalugin, Polina Morozova, Vladimir Semenov, Alexey Sidorchuk, Vadim Ukraintsev, and Konstantin Ushakov
Hydrol. Earth Syst. Sci., 28, 241–259, https://doi.org/10.5194/hess-28-241-2024, https://doi.org/10.5194/hess-28-241-2024, 2024
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Paleogeographical data show that 17–13 ka BP, the Caspian Sea level was 80 m above the current level. There are large disagreements on the genesis of this “Great” Khvalynian transgression of the sea, and we tried to shed light on this issue. Using climate and hydrological models as well as the paleo-reconstructions, we proved that the transgression could be initiated solely by hydroclimatic factors within the deglaciation period in the absence of the glacial meltwater effect.
Joeri B. Reinders and Samuel E. Munoz
Hydrol. Earth Syst. Sci., 28, 217–227, https://doi.org/10.5194/hess-28-217-2024, https://doi.org/10.5194/hess-28-217-2024, 2024
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Flooding presents a major hazard for people and infrastructure along waterways; however, it is challenging to study the likelihood of a flood magnitude occurring regionally due to a lack of long discharge records. We show that hydroclimatic variables like Köppen climate regions and precipitation intensity explain part of the variance in flood frequency distributions and thus reduce the uncertainty of flood probability estimates. This gives water managers a tool to locally improve flood analysis.
Mehrad Rahimpour Asenjan, Francois Brissette, Jean-Luc Martel, and Richard Arsenault
Hydrol. Earth Syst. Sci., 27, 4355–4367, https://doi.org/10.5194/hess-27-4355-2023, https://doi.org/10.5194/hess-27-4355-2023, 2023
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Climate models are central to climate change impact studies. Some models project a future deemed too hot by many. We looked at how including hot models may skew the result of impact studies. Applied to hydrology, this study shows that hot models do not systematically produce hydrological outliers.
Ross Pidoto and Uwe Haberlandt
Hydrol. Earth Syst. Sci., 27, 3957–3975, https://doi.org/10.5194/hess-27-3957-2023, https://doi.org/10.5194/hess-27-3957-2023, 2023
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Long continuous time series of meteorological variables (i.e. rainfall, temperature) are required for the modelling of floods. Observed time series are generally too short or not available. Weather generators are models that reproduce observed weather time series. This study extends an existing station-based rainfall model into space by enforcing observed spatial rainfall characteristics. To model other variables (i.e. temperature) the model is then coupled to a simple resampling approach.
Kajsa Maria Parding, Rasmus Emil Benestad, Anita Verpe Dyrrdal, and Julia Lutz
Hydrol. Earth Syst. Sci., 27, 3719–3732, https://doi.org/10.5194/hess-27-3719-2023, https://doi.org/10.5194/hess-27-3719-2023, 2023
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Intensity–duration–frequency (IDF) curves describe the likelihood of extreme rainfall and are used in hydrology and engineering, for example, for flood forecasting and water management. We develop a model to estimate IDF curves from daily meteorological observations, which are more widely available than the observations on finer timescales (minutes to hours) that are needed for IDF calculations. The method is applied to all data at once, making it efficient and robust to individual errors.
Kaltrina Maloku, Benoit Hingray, and Guillaume Evin
Hydrol. Earth Syst. Sci., 27, 3643–3661, https://doi.org/10.5194/hess-27-3643-2023, https://doi.org/10.5194/hess-27-3643-2023, 2023
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High-resolution precipitation data, needed for many applications in hydrology, are typically rare. Such data can be simulated from daily precipitation with stochastic disaggregation. In this work, multiplicative random cascades are used to disaggregate time series of 40 min precipitation from daily precipitation for 81 Swiss stations. We show that very relevant statistics of precipitation are obtained when precipitation asymmetry is accounted for in a continuous way in the cascade generator.
Theresa Boas, Heye Reemt Bogena, Dongryeol Ryu, Harry Vereecken, Andrew Western, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci., 27, 3143–3167, https://doi.org/10.5194/hess-27-3143-2023, https://doi.org/10.5194/hess-27-3143-2023, 2023
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In our study, we tested the utility and skill of a state-of-the-art forecasting product for the prediction of regional crop productivity using a land surface model. Our results illustrate the potential value and skill of combining seasonal forecasts with modelling applications to generate variables of interest for stakeholders, such as annual crop yield for specific cash crops and regions. In addition, this study provides useful insights for future technical model evaluations and improvements.
Yuanhong You, Chunlin Huang, Zuo Wang, Jinliang Hou, Ying Zhang, and Peipei Xu
Hydrol. Earth Syst. Sci., 27, 2919–2933, https://doi.org/10.5194/hess-27-2919-2023, https://doi.org/10.5194/hess-27-2919-2023, 2023
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This study aims to investigate the performance of a genetic particle filter which was used as a snow data assimilation scheme across different snow climates. The results demonstrated that the genetic algorithm can effectively solve the problem of particle degeneration and impoverishment in a particle filter algorithm. The system has revealed a low sensitivity to the particle number in point-scale application of the ground snow depth measurement.
Patricia Lawston-Parker, Joseph A. Santanello Jr., and Nathaniel W. Chaney
Hydrol. Earth Syst. Sci., 27, 2787–2805, https://doi.org/10.5194/hess-27-2787-2023, https://doi.org/10.5194/hess-27-2787-2023, 2023
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Irrigation has been shown to impact weather and climate, but it has only recently been considered in prediction models. Prescribing where (globally) irrigation takes place is important to accurately simulate its impacts on temperature, humidity, and precipitation. Here, we evaluated three different irrigation maps in a weather model and found that the extent and intensity of irrigated areas and their boundaries are important drivers of weather impacts resulting from human practices.
Marcos Julien Alexopoulos, Hannes Müller-Thomy, Patrick Nistahl, Mojca Šraj, and Nejc Bezak
Hydrol. Earth Syst. Sci., 27, 2559–2578, https://doi.org/10.5194/hess-27-2559-2023, https://doi.org/10.5194/hess-27-2559-2023, 2023
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For rainfall-runoff simulation of a certain area, hydrological models are used, which requires precipitation data and temperature data as input. Since these are often not available as observations, we have tested simulation results from atmospheric models. ERA5-Land and COSMO-REA6 were tested for Slovenian catchments. Both lead to good simulations results. Their usage enables the use of rainfall-runoff simulation in unobserved catchments as a requisite for, e.g., flood protection measures.
Tuantuan Zhang, Zhongmin Liang, Wentao Li, Jun Wang, Yiming Hu, and Binquan Li
Hydrol. Earth Syst. Sci., 27, 1945–1960, https://doi.org/10.5194/hess-27-1945-2023, https://doi.org/10.5194/hess-27-1945-2023, 2023
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We use circulation classifications and spatiotemporal deep neural networks to correct raw daily forecast precipitation by combining large-scale circulation patterns with local spatiotemporal information. We find that the method not only captures the westward and northward movement of the western Pacific subtropical high but also shows substantially higher bias-correction capabilities than existing standard methods in terms of spatial scale, timescale, and intensity.
Zeyu Xue, Paul Ullrich, and Lai-Yung Ruby Leung
Hydrol. Earth Syst. Sci., 27, 1909–1927, https://doi.org/10.5194/hess-27-1909-2023, https://doi.org/10.5194/hess-27-1909-2023, 2023
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We examine the sensitivity and robustness of conclusions drawn from the PGW method over the NEUS by conducting multiple PGW experiments and varying the perturbation spatial scales and choice of perturbed meteorological variables to provide a guideline for this increasingly popular regional modeling method. Overall, we recommend PGW experiments be performed with perturbations to temperature or the combination of temperature and wind at the gridpoint scale, depending on the research question.
Louise J. Slater, Louise Arnal, Marie-Amélie Boucher, Annie Y.-Y. Chang, Simon Moulds, Conor Murphy, Grey Nearing, Guy Shalev, Chaopeng Shen, Linda Speight, Gabriele Villarini, Robert L. Wilby, Andrew Wood, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 27, 1865–1889, https://doi.org/10.5194/hess-27-1865-2023, https://doi.org/10.5194/hess-27-1865-2023, 2023
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Hybrid forecasting systems combine data-driven methods with physics-based weather and climate models to improve the accuracy of predictions for meteorological and hydroclimatic events such as rainfall, temperature, streamflow, floods, droughts, tropical cyclones, or atmospheric rivers. We review recent developments in hybrid forecasting and outline key challenges and opportunities in the field.
Zexuan Xu, Erica R. Siirila-Woodburn, Alan M. Rhoades, and Daniel Feldman
Hydrol. Earth Syst. Sci., 27, 1771–1789, https://doi.org/10.5194/hess-27-1771-2023, https://doi.org/10.5194/hess-27-1771-2023, 2023
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The goal of this study is to understand the uncertainties of different modeling configurations for simulating hydroclimate responses in the mountainous watershed. We run a group of climate models with various configurations and evaluate them against various reference datasets. This paper integrates a climate model and a hydrology model to have a full understanding of the atmospheric-through-bedrock hydrological processes.
Jolanda J. E. Theeuwen, Arie Staal, Obbe A. Tuinenburg, Bert V. M. Hamelers, and Stefan C. Dekker
Hydrol. Earth Syst. Sci., 27, 1457–1476, https://doi.org/10.5194/hess-27-1457-2023, https://doi.org/10.5194/hess-27-1457-2023, 2023
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Evaporation changes over land affect rainfall over land via moisture recycling. We calculated the local moisture recycling ratio globally, which describes the fraction of evaporated moisture that rains out within approx. 50 km of its source location. This recycling peaks in summer as well as over wet and elevated regions. Local moisture recycling provides insight into the local impacts of evaporation changes and can be used to study the influence of regreening on local rainfall.
Eleonora Dallan, Francesco Marra, Giorgia Fosser, Marco Marani, Giuseppe Formetta, Christoph Schär, and Marco Borga
Hydrol. Earth Syst. Sci., 27, 1133–1149, https://doi.org/10.5194/hess-27-1133-2023, https://doi.org/10.5194/hess-27-1133-2023, 2023
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Convection-permitting climate models could represent future changes in extreme short-duration precipitation, which is 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 overall 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 the role of orography.
Bora Shehu, Winfried Willems, Henrike Stockel, Luisa-Bianca Thiele, and Uwe Haberlandt
Hydrol. Earth Syst. Sci., 27, 1109–1132, https://doi.org/10.5194/hess-27-1109-2023, https://doi.org/10.5194/hess-27-1109-2023, 2023
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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.
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.
Cited articles
Aalto, J., Pirinen, P., and Jylhä, K.: New gridded daily climatology of
Finland: Permutation-based uncertainty estimates and temporal trends in
climate, J. Geophys. Res.-Atmos., 121, 3807–3823,
https://doi.org/10.1002/2015JD024651, 2016.
Airavaara, H., Ala-Ilomäki, J., Högnäs, T., and Sirén, M.:
Nykykalustolla turvemaiden puunkorjuuseen [Equipping conventional wheeled
forwarders for peatland operations], Working Papers of the Finnish Forest
Research Institute 80, 46 pp., 2008.
Ala-Ilomäki, J., Högnäs, T., Lamminen, S., and Siren, M.:
Equipping a conventional wheeled forwarder for peatland operations,
International Journal of Forest Engineering, 22, 7–13, 2011.
Anderson, E. A.: National Weather Service Forecast System-Snow Accumulation
and Ablation model, NOAA Technical Memorandum NWS HYDRO-17, U.S. Dept. of
Commerce, Silver Spring, MD, 217 pp., 1973.
Asikainen, A., Mutanen, A., Kangas, A., Vehmasto, E., Verkasalo, E.,
Ylitalo, E., Hynynen, J., Viitanen, J., Backman, J., Laitila, J., Korhonen,
K.T., Finér, L., Neuvonen, M., Kurttila, M., Peltoniemi, M., Salminen,
O., Peltonen-Sainio, P., Peltola, R., Korpinen, R., Kurppa, S., Räty,
T., Saksa, T., Sievänen, T., Packalen, T., Saarinen, V.-M.,
Kankaanhuhta, V., and Kolttola, L.: Vihreä biotalous: 100-vuotiaan Suomen
hyvinvoinnin ja kilpailukyvyn perusta, edited by: Jaakkonen, A.-K. and
Ylitalo, E., Luonnonvara- ja biotalouden tutkimus 59/2016, 25 pp., 2016.
Aurela, M., Laurila, T., and Tuovinen, J.-P.: Seasonal CO2 balances of a
subarctic mire, J. Geophys. Res., 106, 1623–1637,
https://doi.org/10.1029/2000JD900481, 2001.
Aurela, M., Lohila, A., Tuovinen, J.-P., Hatakka, J., Penttilä, T., and
Laurila, T.: Carbon dioxide and energy flux measurements in four
northern-boreal ecosystems at Pallas, Boreal Environ. Res., 20,
455–473, 2015.
Barrere, M., Domine, F., Decharme, B., Morin, S., Vionnet, V., and Lafaysse,
M.: Evaluating the performance of coupled snow-soil models in SURFEXv8 to
simulate the permafrost thermal regime at a high Arctic site, Geosci. Model
Dev., 10, 3461–3479, https://doi.org/10.5194/gmd-10-3461-2017, 2017.
Beven, K.: A manifesto for the equifinality thesis, J. Hydrol., 320, 18–36,
https://doi.org/10.1016/j.jhydrol.2005.07.007, 2006.
Carroll, M. J., Dennis, P., Pearce-Higgins, J. W., and Thomas, C. D.:
Maintaining northern peatland ecosystems in a changing climate: effects of
soil moisture, drainage and drain blocking in craneflies, Glob. Change Biol.,
17, 2991–3001, https://doi.org/10.1111/j.1365-2486.2011.02416.x, 2011.
Cattiaux, J., Douville, H., and Peings, Y.: European temperatures in CMIP5:
origins of present-day biases and future uncertainties, Clim. Dynam., 41,
2889–2907, https://doi.org/10.1007/s00382-013-1731-y, 2013.
Collins, M., Knutti, R., Arblaster, J., Dufresne, J.-L., Fichefet, T.,
Friedlingstein, P., Gao, X., Gutowski, W. J., Johns, T., Krinner, G.,
Shongwe, M., Tebaldi, C., Weaver, A. J., and Wehner, M.: Long-term climate
change: projections, commitments and irreversibility, in: The Physical
Science Basis, Contribution of Working Group I to the Fifth Assessment Report
of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F.,
Qin, D., Plattner, G.-K., Tignot, M., Allen, S. K., Boschung, J., Nauels, A.,
Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge
and New York, 1029–1136, 2013.
Eeronheimo, O.: Suometsien puunkorjuu – Forest harvesting on peatlands,
Folia Forestalia 779, The Finnish Forest Research Institute, 29 pp.,
available at: https://core.ac.uk/download/pdf/52273561.pdf (last
access: 12 December 2017), 1991.
Finnish Forest Research Institute: State of Finland's Forests 2011, Based on
the Criteria and Indicators of Sustainable Forest Management, Ministry of
Agriculture and Forestry and Finnish Forest Research Institute 5a/2011,
Suomen Graafiset Palvelut Oy, Kuopio, 96 pp., 2011.
Finnish Forest Research Institute: Finnish Statistical Yearbook of Forestry,
Tammerprint, Tampere, 428 pp., 2014.
Flato, G., Marotzke, J., Abiodun, B., Braconnot, P., Chou, S. C., Collins,
W., Cox, P., Driouech, F., Emori, S., Eyring, V., Forest, C., Gleckler, P.,
Guilyardi, E., Jakob, C., Kattsov, V., Reason, C., and Rummukainen, M.:
Evaluation of Climate Models, in: Climate Change 2013: The Physical Science
Basis. Contribution of Working Group I to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin,
D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels A., Xia,
Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge and
New York, 741–866, 2013.
Gregow, H., Peltola, H., Laapas, M., Saku, S., and Venäläinen, A.:
Combined occurrence of wind, snow loading and soil frost with implications
for risks to forestry in Finland under the current and changing climatic
conditions, Silva Fenn., 45, 35–54, 2011.
Gurevich, M. I.: Dependence of the snow melting rate on air temperature,
Meteorology and Hydrology (Meteorologiya i gidrologiya), No. 3, 44–48, 1950.
Hankimo, J.: Sateen olomuodon prediktoreista, Finnish Meteorological
Institute, tutkimusseloste 57, 1976.
Hedstrom, N. R. and Pomeroy, J. W.: Measurements and modelling of snow
interception in the boreal forest, Hydrol. Process., 12, 1611–1625,
https://doi.org/10.1002/(SICI)1099-1085(199808/09)12:10/11<1611::AID-HYP684>3.0.CO;2-4,
1998.
Heikinheimo, M. and Fougstedt, B.: Statistics of soil temperature in Finland
1971–1990, Meteorological Publications, Finnish Meteorological Institute,
Painatuskeskus Oy, Helsinki, 75 pp., 1992.
Heikkilä, J.: Turvemaiden puun kasvatus ja korjuu – nykytila ja
kehittämistarpeet [Silviculture and harvesting of peatland forests – the
current state and future development needs], Working Papers of the Finnish
Forest Research Institute 43, 29 pp., 2007.
Hiitiö, M.: Lumen sulannasta ja sen aiheuttaman valunnan arvioinnista,
M.Sc. thesis, Department of Civil Engineering, Helsinki University of
Technology, Finland, 96 pp., 1982.
Houle, D., Bouffard, A., Duchesne, L., Logan, T., and Harvey, R.: Projections
of future soil temperature and water content for three southern Quebec
forested sites, J. Climate, 25, 7690–7701, https://doi.org/10.1175/JCLI-D-11-00440.1,
2012.
Jacob, D., Petersen, J., Eggert, B., Alias, A., Christensen, O. B., Bouwer,
L. M., Braun, A., Colette, A., Déqué M., Georgievski, G.,
Georgopoulou, E., Gobiet, A., Menut, L, Nikulin, G., Haensler, A, Hempelmann,
N., Jones, C., Keuler, K., Kovats, S., Kröner, N., Kotlarski, S.,
Kriegsmann, A., Martin, E., van Meijgaard, E., Moseley, C., Pfeifer, S.,
Preuschmann, S., Radermacher, C., Radtke, K., Rechid, D., Rounsevell, M.,
Samuelsson, P., Somot, S., Soussana, J.-F., Teichmann, C., Valentini, R.,
Vautard, R., Weber, B., and Yiou, P.: EURO-CORDEX: new high-resolution
climate change projections for European impact research, Reg. Environ.
Change, 14, 563–578, https://doi.org/10.1007/s10113-013-0499-2, 2014.
Jansson, P.-E.: CoupModel: model use, calibration, and validation, T. ASABE,
55, 1335–1344, 2012.
Jungqvist, G., Oni, S. K., Teutschbein, C., and Futter, M. N.: Effect of
climate change on soil temperature in Swedish boreal forests, PLoS ONE, 9,
e93957, https://doi.org/10.1371/journal.pone.0093957, 2014.
Kaakkurivaara, T., Vuorimies, N., Kolisoja, P., and Uusitalo, J.:
Applicability of portable tools in assessing the bearing capacity of forest
roads, Silva Fenn., 49, 1239, https://doi.org/10.14214/sf.1239, 2015.
Kellomäki, S., Maajärvi, M., Strandman, H., Kilpeläinen, A., and
Peltola, H.: Model computations on the climate change effects on snow cover,
soil moisture and soil frost in the boreal conditions over Finland, Silva
Fenn., 44, 213–233, https://doi.org/10.14214/sf.455, 2010.
Kokkila, M.: Ilmastonmuutoksen vaikutus puunkorjuun talvikauden korjuuoloihin
hienojakoisella kivennäismaalla, Metsätieteen aikakauskirja,
1/2013, 5–18, https://doi.org/10.14214/ma.6028, 2013.
Komulainen, V.-M., Tuittila, E.-S., Vasander, H., and Laine, J.: Restoration
of drained peatlands in southern Finland: initial effects on vegetation
change and CO2 balance, J. Appl. Ecol., 36, 634–648,
https://doi.org/10.1046/j.1365-2664.1999.00430.x, 1999.
Korkiakoski, M., Tuovinen, J.-P., Aurela, M., Koskinen, M., Minkkinen, K.,
Ojanen, P., Penttilä, T., Rainne, J., Laurila, T., and Lohila, A.:
Methane exchange at the peatland forest floor – automatic chamber system
exposes the dynamics of small fluxes, Biogeosciences, 14, 1947–1967,
https://doi.org/10.5194/bg-14-1947-2017, 2017.
Kotlarski, S., Keuler, K., Christensen, O. B., Colette, A., Déqué,
M., Gobiet, A., Goergen, K., Jacob, D., Lüthi, D., van Meijgaard, E.,
Nikulin, G., Schär, C., Teichmann, C., Vautard, R., Warrach-Sagi, K., and
Wulfmeyer, V.: Regional climate modeling on European scales: a joint standard
evaluation of the EURO-CORDEX RCM ensemble, Geosci. Model Dev., 7,
1297–1333, https://doi.org/10.5194/gmd-7-1297-2014, 2014.
Kozlowski, T.: Some factors affecting supercooling and the equilibrium
freezing point in soil–water systems, Cold Reg. Sci. Technol., 59, 25–33,
https://doi.org/10.1016/j.coldregions.2009.05.009, 2009.
Knutti, R. and Sedláček, J.: Robustness and uncertainties in the new
CMIP5 climate model projections, Nat. Clim. Change, 3, 369–373,
https://doi.org/10.1038/nclimate1716, 2013.
Laitila, J., Väätäinen, K., and Asikainen, A.: Comparison of two
harvesting methods for complete tree removal on tree stands on drained
peatlands, Suo, 64, 77–95, 2013.
Laitila, J., Niemistö, P., and Väätäinen, K.: Productivity of
multi-tree cutting in thinnings and clear cuttings of young downy birch
(Betula pubescens) dominated stands in the integrated harvesting of pulpwood
and energy wood, Balt. For., 22, 116–131, 2016.
Lundberg, A. and Koivusalo, H.: Estimating winter evaporation in boreal
forests with operational snow course data, Hydrol. Process., 17, 1479–1493,
https://doi.org/10.1002/hyp.1179, 2003.
Malinen, J., Nousiainen, V., Palojärvi, K., and Palander, T.: Prospects
and challenges of timber trucking in a changing operational environment in
Finland, Croat. J. For. Eng., 35, 91–100, 2014.
Maraun, D. and Widmann, M.: Statistical downscaling and bias correction for
climate research, Cambridge University Press, Cambridge, 347 pp., 2018.
Ministry of Employment and the Economy, Ministry of Agriculture and Forestry,
and Ministry of the Environment: Sustainable growth from bioeconomy – The
Finnish bioeconomy strategy, Edita Prime Ltd, 17 pp., available at:
http://biotalous.fi/wp-content/uploads/2014/08/The_Finnish_Bioeconomy_Strategy_110620141.pdf
(last access: 12 December 2017), 2014.
Natural Resources Institute Finland: Forest industries' wood consumption
2016, available at:
http://stat.luke.fi/en/forest-industries-wood-consumption-2016_en, last
access: 12 December 2017a.
Natural Resources Institute Finland: Finnish roundwood harvests to a record
level in 2016, available at:
https://www.luke.fi/en/news/finnish-roundwood-harvests-record-level-2016/,
last access: 12 December 2017b.
Nugent, C., Kanali, C., Owende, P. M. O., Nieuwenhuis, M., and Ward, S.:
Characteristic site disturbance due to harvesting and extraction machinery
traffic on sensitive forest sites with peat soils, Forest Ecol. Manag., 180,
85–98, https://doi.org/10.1016/S0378-1127(02)00628-X, 2003.
Oni, S. K., Mieres, F., Futter, M. N., and Laudon, H.: Soil temperature
responses to climate change along a gradient of upland-riparian transect in
boreal forest, Climatic Change, 143, 27–41, https://doi.org/10.1007/s10584-017-1977-1,
2017.
Park, S. K., Sungmin, O., and Cassardo, C.: Soil temperature response in
Korea to a changing climate using a land surface model, Asia-Pac. J. Atmos.
Sci., 53, 457–470, https://doi.org/10.1007/s13143-017-0048-x, 2017.
Pärn, J., Verhoeven, J. T. A., Butterbach-Bahl, K., Dise, N. B., Ullah,
S., Aasa, A., Egorov, S., Espenberg, M., Järvenoja, J., Jauhiainen, J.,
Kasak, K., Klemedtsson, L., Kull, A., Laggoun-Défarge, F., Lapshina, E.
D., Lohila, A., Lõhmus, K., Maddison, M., Mitsch, W. J., Müller, C.,
Niinemets, Ü, Osborne, B., Pae, T., Salm, J.-O., Sgouridis, F., Sohar,
K., Soosaar, K., Storey, K., Teemusk, A., Tenywa, M. M., Tournebize, J.,
Truu, J., Veber, G., Villa, J. A., Zaw, S. S., and Mander, Ü.:
Nitrogen-rich organic soils under warm well-drained conditions are global
nitrous oxide emission hotspots, Nat. Commun., 9, 1135,
https://doi.org/10.1038/s41467-018-03540-1, 2018.
Peltola, H., Kellomäki, S., and Väisänen, H.: Model computations
of the impact of climatic change on the windthrow risk of trees, Climatic
Change, 41, 17–36, https://doi.org/10.1023/A:1005399822319, 1999.
Pitkänen, A., Turunen, J., Tahvanainen, T., and Simola, H.: Carbon
storage change in a partially forestry-drained boreal mire determined through
peat column inventories, Boreal Environ. Res., 18, 223–234, 2013.
Pohjankukka, J., Riihimäki, H., Nevalainen, P., Pahikkala, T.,
Ala-Ilomäki, J., Hyvönen, E., Varjo, J., and Heikkonen, J.:
Predictability of boreal forest soil bearing capacity by machine learning, J.
Terramechanics, 68, 1–8, https://doi.org/10.1016/j.jterra.2016.09.001, 2016.
Räisänen, J. and Eklund, J.: 21st century changes in snow climate in
Northern Europé: a high-resolution view from ENSEMBLES regional climate
models, Climate Dynamics, 38, 2575–2591, https://doi.org/10.1007/s00382-011-1076-3,
2012.
Räisänen, J. and Räty, O.: Projections of daily mean temperature
variability in the future: cross-validation tests with ENSEMBLES regional
climate models, Clim. Dynam., 41, 1553–1568, https://doi.org/10.1007/s00382-012-1515-9,
2013.
Räisänen, J. and Ylhäisi, J. S.: CO2-induced climate
change in northern Europe: CMIP2 versus CMIP3 versus CMIP5, Clim. Dynam., 45,
1877–1897, https://doi.org/10.1007/s00382-014-2440-x, 2015.
Rankinen, K., Karvonen, T., and Butterfield, D.: A simple model for
predicting soil temperature in snow-covered and seasonally frozen soil: model
description and testing, Hydrol. Earth Syst. Sci., 8, 706–716,
https://doi.org/10.5194/hess-8-706-2004, 2004.
Rasmus, S., Gustafsson, D., Koivusalo, H., Laurén, A., Grelle, A.,
Kauppinen, O.-K., Lagnvall, O., Lindroth, A., Rasmus, K., Svensson, M., and
Weslien, P.: Estimation of winter leaf area index and sky view fraction for
snow modelling in boreal coniferous forests: consequences on snow mass and
energy balance, Hydrol. Process., 27, 2876–2891, https://doi.org/10.1002/hyp.9432, 2013.
Räty, O., Räisänen, J., and Ylhäisi J. S.: Evaluation of
delta change and bias correction methods for future daily precipitation:
intermodel cross-validation using ENSEMBLES simulations, Clim. Dynam., 42,
2287–2303, https://doi.org/10.1007/s00382-014-2130-8, 2014.
Röser, D., Sikanen, L., Asikainen, A., Parikka, H., and
Väätäinen, K.: Productivity and cost of mechanized energy wood
harvesting in Northern Scotland, Biomass Bioenerg., 35, 4570–4580,
https://doi.org/10.1016/j.biombioe.2011.06.028, 2011.
Ruosteenoja, K., Jylhä, K., and Kämäräinen, M.: Climate
projections for Finland under the RCP forcing scenarios, Geophysica, 51,
17–50, 2016.
Ruosteenoja, K., Markkanen, T., Venäläinen, A., Räisänen, P.,
and Peltola, H.: Seasonal soil moisture and drought occurrence in Europe in
CMIP5 projections for the 21st century, Clim. Dynam., 50, 1177–1192,
https://doi.org/10.1007/s00382-017-3671-4, 2018.
Saad, C., Boulanger, Y., Beaudet, M., Gachon, P., Ruel, J.-C., and Gauthier,
S.: Potential impact of climate change on the risk of windthrow in eastern
Canada's forests, Climatic Change, 143, 487–501,
https://doi.org/10.1007/s10584-017-1995-z, 2017.
Shoop, S. A.: Vehicle bearing capacity of frozen ground over a soft
substrate, Can. Geotech. J., 32, 552–556, https://doi.org/10.1139/t95-057, 1995.
Simola, H., Pitkänen, A., and Turunen, J.: Carbon loss in drained
forestry peatlands in Finland, estimated by resampling peatlands surveyed in
the 1980s, Eur. J. Soil Sci., 63, 798–807,
https://doi.org/10.1111/j.1365-2389.2012.01499.x, 2012.
Sinha, T. and Cherkauer, K. A.: Impacts of future climate change on soil
frost in the Midwestern United States, J. Geophys. Res., 115, D08105,
https://doi.org/10.1029/2009JD012188, 2010.
Sirén, M., Ala-Ilomäki, J., Mäkinen, H., Lamminen, S., and
Mikkola, T.: Harvesting damage caused by thinning of Norway spruce in
unfrozen soil, International Journal of Forest Engineering, 24, 60–75,
https://doi.org/10.1080/19132220.2013.792155, 2013.
Soveri, J. and Varjo, M.: Roudan muodostumisesta ja esiintymisestä
Suomessa vuosina 1955–1975, Publications of the Water Research Institute,
National Board of Waters, Valtion Painatuskeskus, Helsinki, 66 pp., 1977.
Stähli, M. and Gustafsson, D.: Long-term investigations of the snow cover
in a subalpine semi-forested catchment, Hydrol. Process., 20, 411–428,
https://doi.org/10.1002/hyp.6058, 2006.
Style, R. W., Peppin, S. S. L., Cocks, A. C. F., and Wettlaufer, J. S.:
Ice-lens formation and geometrical supercooling in soils and other colloidal
materials, Phys. Rev. E, 84, 041402, https://doi.org/10.1103/PhysRevE.84.041402, 2011.
Suvinen, A.: A GIS-based simulation model for terrain tractability, J.
Terramechanics, 43, 427–449,
https://doi.org/10.1016/j.jterra.2005.05.002, 2006.
Svenson, G. and Fjeld, D.: The impact of road geometry and surface roughness
on fuel consumption of logging trucks, Scand. J. Forest Res., 31, 526–536,
https://doi.org/10.1080/02827581.2015.1092574, 2016.
Taskinen, A. and Söderholm, K.: Operational correction of daily
precipitation measurements in Finland, Boreal Environ. Res., 21, 1–24, 2016.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and
the experimental design, B. Am. Meteorol. Soc., 93, 485–498,
https://doi.org/10.1175/BAMS-D-11-00094.1, 2012.
Uusitalo, J. and Ala-Ilomäki, J.: The significance of above-ground
biomass, moisture content and mechanical properties of peat layer on the
bearing capacity of ditched pine bogs, Silva Fenn., 47, 993, https://doi.org/10.14214/sf.993, 2013.
Uusitalo, J., Salomäki, M., and Ala-Ilomäki, J.: Variation of the
factors affecting soil bearing capacity of ditched pine bogs in Southern
Finland, Scand. J. Forest Res., 30, 429–439,
https://doi.org/10.1080/02827581.2015.1012110, 2015a.
Uusitalo, J., Salomäki, M., and Ala-Ilomäki, J.: The effect of wider
logging trails on rut formation in the harvesting of peatland forests, Croat.
J. For. Eng., 36, 125–130, 2015b.
van Vuuren, D. P., Edmonds, J., Kainuma M., Riahi, K., Thomson, A., Hibbard,
K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J.-F., Masui, T.,
Meinshausen, M., Nakicenovic, N., Smith, S. J., and Rose, S. K.: The
representative concentration pathways: an overview, Climatic Change, 109,
5–31, https://doi.org/10.1007/s10584-011-0148-z, 2011.
Varhola, A., Coops, N. C., Weiler, M., and Dan Moore, R.: Forest canopy
effects on snow accumulation and ablation: An integrative review of empirical
results, J. Hydrol., 392, 219–233, https://doi.org/10.1016/j.jhydrol.2010.08.009, 2010.
Vehviläinen, B.: Snow cover models in operational watershed forecasting,
Publications of the Water and Environment Research Institute, National Board
of Waters and the Environment, Valtion Painatuskeskus, Helsinki, 112 pp.,
1992.
Venäläinen, A., Tuomenvirta, H., Heikinheimo, M., Kellomäki, S.,
Peltola, H., Strandman, H., and Väisänen, H.: Impact of climate
change on soil frost under snow cover in a forested landscape, Clim. Res.,
17, 63–72, https://doi.org/10.3354/cr017063, 2001a.
Venäläinen, A., Tuomenvirta, H., Lahtinen, R., and Heikinheimo, M.:
The influence of climate warming on soil frost on snow-free surfaces in
Finland, Climatic Change, 50, 111–128, https://doi.org/10.1023/A:1010663429684, 2001b.
Vrac, M., Noël, T., and Vautard, R.: Bias correction of precipitation
through Singularity Stochastic Removal: Because occurrences matter, J.
Geophys. Res.-Atmos., 121, 5237–5258, https://doi.org/10.1002/2015JD024511, 2016.
Weedon, G. P., Balsamo, G., Bellouin, N., Gomes, S., Best, M. J., and
Viterbo, P.: The WFDEI meteorological forcing data set: WATCH Forcing Data
methodology applied to ERA-Interim reanalysis data, Water Resour. Res., 50,
7505–7514, https://doi.org/10.1002/2014WR015638, 2014.
Yang, D., Goodison, B. E., Metcalfe, J. R., Louie, P., Leavesley, G.,
Emerson, D., Hanson, C. L., Golubev, V. S., Elomaa, E., Gunther, T.,
Pangburn, T., Kang, E., and Milkovic, J.: Quantification of precipitation
measurement discontinuity induced by wind shields on national gauges, Water
Resour. Res., 35, 491–508, https://doi.org/10.1029/1998WR900042, 1999.
Yin, X. W. and Arp, P. A.: Predicting forest soil temperatures from monthly
air temperature and precipitation records, Can. J. Forest Res., 23,
2521–2536, https://doi.org/10.1139/x93-313, 1993.
Yli-Vakkuri, P.: Metsiköiden routa- ja lumisuhteista, Acta Forestalia
Fennica, 71, 7114, https://doi.org/10.14214/aff.7114, 1960.
Short summary
Wintertime bearing capacity on different forest soils with respect to timber harvesting in the projected future climate of Finland was estimated by using a soil temperature model and a wide set of downscaled climate model simulations. The results indicate that, particularly, drained peatlands may virtually lack soil frost over large areas in most of winters during the late 21st century. There is thus a clear need to develop new sustainable and efficient logging practices for peatland forests.
Wintertime bearing capacity on different forest soils with respect to timber harvesting in the...
