The study in the paper is utilizing and maximizing high-performance computing (HPC) power resources to support the study on extreme weather impact due to climate change, which for the first time allows modellers to simulate the entire system, ranging from the global circulation to a target catchment for impact study on a single platform, where both NWP and the hydrological model are executed so that more effective interaction and communication can be achieved and maintained between the model.

For regional flood frequency, it is challenging to identify regions with similar hydrological properties. Therefore, previous works have mainly proposed to use regions with similar physiographical properties. This research proposes instead to nonlinearly predict the desired hydrological properties before using them for delineation. The presented method is applied to a case study in Québec, Canada, and leads to hydrologically relevant regions, while enhancing predictions made inside them.

Taiwan continues to suffer from floods. This study proposes the integration of rainfall thresholds and ensemble precipitation forecasts to provide probabilistic urban inundation forecasts. Utilization of ensemble precipitation forecasts can extend forecast lead times to 72 h, preceding peak flows and allowing response agencies to take necessary preparatory measures. This study also develops a hybrid of real-time observation and rainfall forecasts to improve the first 24 h inundation forecasts.

In recent decades, limited research has been conducted to examine the role of watershed properties in hydrological responses in large watersheds. Based on pair-wise comparisons, we conclude that reforestation decreased high flows but increased low flows in the watersheds studied. Hydrological recovery through reforestation is largely dependent on watershed properties when forest change and climate are similar and comparable. This finding has important implications for designing reforestation.

This research used tritium to determine the timescales that water is stored in peatlands and eucalyptus forest catchments in upland river systems in southeast Australia. The mean transit times in the peatland catchments of less than a few years contrast with much longer transit times (years to decades) in adjacent eucalyptus catchments. The peat is susceptible to drying which renders it vulnerable to degradation and bushfire and does not represent a long-term water store to upland streams.

The core component of many hydrological systems, the moisture storage capacity available to vegetation, is typically treated as a calibration parameter in hydrological models and often considered to remain constant in time. In this paper we test the potential of a recently introduced method to robustly estimate catchment-scale root-zone storage capacities exclusively based on climate data to reproduce the temporal evolution of root-zone storage under change (deforestation).

This manuscript focuses on observed changes to the hydrology of 42 rivers in northern Canada draining one-half of its land mass over the period 1964–2013. Statistical and trend analyses are presented for the 42 individual rivers, 6 regional drainage basins, and collectively for all of northern Canada. A main finding is the reversal of a statistically significant decline in the first half of the study period to a statistically significant 18.1 % incline in river discharge across northern Canada.

We developed a parsimonious topography-based hydrologic model coupled with a soil biogeochemistry sub-model in order to improve understanding and prediction of soluble reactive phosphorus (SRP) transfer in agricultural headwater catchments. The modelling approach includes an analysis of the information contained in the calibration data and propagation of uncertainty in model predictions using a GLUE "limits of acceptability" framework.

We demonstrate a new approach to assess the strength of feedbacks resulting from land–atmosphere coupling on decadal timescales. Our approach was tailored to enable evaluation of Earth system models (ESMs) using data from Earth observation satellites that measure terrestrial water storage anomalies and relevant atmospheric variables. Our results are consistent with previous work demonstrating that ESMs may be overestimating the strength of land surface feedbacks compared with observations.

The Budyko functions are matched with the complementary evaporation relationship. We show that there is a functional dependence between the Budyko functions and the drying power of the air. Examining the case where potential evaporation is calculated by means of a Priestley–Taylor type equation with a varying coefficient, we show that this coefficient should have a specified value as a function of the Budyko shape parameter and the aridity index.

A new physically based formulation is proposed to extend the Budyko framework under non-steady-state conditions, taking into account the change in water storage. The new formulation, which introduces an additional parameter, represents a generic framework applicable to any Budyko function at various time steps. It is compared to other formulations from the literature and the analytical solution of Greve et al. (2016) appears to be a particular case.

Long-term catchment sediment and nutrient budgets are important for managing soil and nutrient resources for more sustainability. Here we construct a 14-year budget of water, sediment and nutrients across two subtropical reservoirs. A major flood in January 2011 dominated flow and loads in and out of both reservoirs. Sediment and nutrient budgets are inherently dynamic, and our results demonstrate that meaningful reservoir budgets require reliable estimates of uncertainty and variability.

The SMOS mission provides various various products to estimate soil moisture. This paper evaluates the performance of assimilating either Level-1-based multi-angle brightness temperature (Tb) observations, Level-1-based single-angle Tb observations, or Level 2 soil moisture retrievals, into the NASA Catchment land surface model.

The country of Myanmar and its abundant water resources are facing major challenges due to political and economic reforms, massive investments from neighbouring countries and climate change impacts. Publications on current and future impacts from human activities and climate change on Myanmar's river basins have been reviewed in order to gain an overview of the key drivers in these human–water dynamics. The review reveals the relevance of this information with regard to human–water interactions.

The goal of the paper is to analyze the theory of water age inside a catchment while accounting for multiple outflows. It tries to propose the material under a new perspective where it lines up concepts, cleans the notation, discusses some classical results, and offers some examples that help to relate the modern achievements to the theory of the IUH, clarifying assets of both of them. In doing all of this, it also produces various new results, and some regarding solute transport.

Hydrological model parameters may vary in time under nonstationary conditions, i.e., climate change and anthropogenic activities. The technique of the ensemble Kalman filter (EnKF) is proposed to identify the temporal variation of parameters for a two-parameter monthly water balance model. Through a synthesis experiment and two case studies, the EnKF is demonstrated to be useful for the identification of parameter variations.

This paper introduces a new formulation of hydrological subsurface dynamics for hydrological models. The frequency distribution of the fluctuations of the catchment-scale subsurface storage is estimated from observed recessions and the mean annual runoff. The new formulation of the subsurface has been tested for 73 Norwegian catchments and is found to perform as well as the previous calibrated subsurface formulation. Recessions are better simulated using the new formulation.

We propose a methodology to calibrate the bankfull channel depth and roughness parameters in a 2-D hydraulic model using an archive of medium-resolution SAR satellite-derived flood extent maps. We used an identifiability methodology to locate the parameters and suggest the SAR images which could be optimally used for model calibration. We found that SAR images acquired around the flood peak provide best calibration potential for the depth parameter, improving when SAR images are combined.

The representation of soil water movement comes with uncertainties in all model components. We assess the key uncertainties for the case of a one-dimensional soil profile with measured water contents. We employ a data assimilation method to represent and reduce the key uncertainties. For intermittent phases where model assumptions are violated, we introduce a "closed-eye period" to bridge the gap. We also demonstrate the need to include heterogeneity.

We present novel research on the spatiotemporal variability of snowmelt isotopic content in a high-elevation catchment with complex terrain to improve the isotope-based hydrograph separation method. A modelling approach was used to weight the plot-scale snowmelt isotopic content with melt rates for the north- and south-facing slope. The investigations showed that it is important to sample at least north- and south-facing slopes, because of distinct isotopic differences between both slopes.

We developed a new approach to couple a distributed hydrological model, CREST, to a geotechnical landslide model, TRIGRS, to simulate both flood- and rainfall-triggered landslide hazards. By implementing more sophisticated and realistic representations of hydrological processes in the coupled model system, it shows better performance than the standalone landslide model in the case study. It highlights the important physical connection between rainfall, hydrological processes and slope stability.

The unprecedented availability of user-generated data on the Web is opening new opportunities for enhancing real-time monitoring and modeling of environmental systems based on data that are public, low-cost, and spatiotemporally dense. In this paper, we contribute a novel crowdsourcing procedure for extracting snow-related information from public web images. The value of the obtained virtual snow indexes is assessed for a real-world water management problem.

The paper presents original research about storm movement effects on runoff modelling at the basin scale instead of the conventional laboratory scale. It is essential to find that neglecting storm movement may bring artifacts to parameters when calibrating hydrological models; slow movement of storm has a more significant effect on hydrograph; storm movement on hydrograph modelling becomes visible only when the study area is divided into sub-basins.