Suspended sediment response to Nordic bioeconomy and climate change scenarios in a first-order agricultural catchment

CATENA, Год журнала: 2022, Номер 222, С. 106794 - 106794

Опубликована: Дек. 14, 2022

Язык: Английский

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Biophysical Modelling of the Ganges, Brahmaputra, and Meghna Catchment

Springer eBooks, Год журнала: 2018, Номер unknown, С. 249 - 262

Опубликована: Янв. 1, 2018

Язык: Английский

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EVALUATION OF ERA5 AND IMERG PRECIPITATION DATA FOR RISK ASSESSMENT OF WATER CYCLE VARIABLES OF A LARGE RIVER BASIN IN SOUTH ASIA USING SATELLITE DATA AND ARCHIMEDEAN COPULAS

Water Conservation and Management, Год журнала: 2022, Номер 6(1), С. 61 - 69

Опубликована: Янв. 1, 2022

Precipitation as a major water cycle variable influences the occurrences and distribution of terrestrial storage change (TWSC), evapotranspiration (ET), river discharge (Q) large basin. However, its relationship with other variables using probabilistic dependence structure concept has not been addressed much. Furthermore, precipitation derived from gauge record is plagued by bias due to orography under-catch. To fill these gaps, bivariate copula reanalysis satellite data were used. In present study, basin-wide averages products APHRODITE, ERA5, IMERG used predictors, whereas areal mean MOD16 evapotranspiration, GRACE TWSC, dependent (predictants) for Brahmaputra The Archimedean copulas applied all pairs precipitation-TWSC, precipitation-ET precipitation-Q based on optimal marginal distributions obtained. Using best each pair variables, conditional probability was constructed predict predictants different amounts (5th, 25th, 50th, 75th, 95th percentiles). focus analysis two scenarios (i.e.,≤ 5th ≥ non-exceedance ET, Q (all ≤ percentile) decreases increase. exceedance (≥ increases gradually an increase in precipitation. results revealed that both ERA5 could be derive measures absence gauge-based

Язык: Английский

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A Unique Approach on How to Work Around the Common Uncertainties of Local Field Data in the PERSiST Hydrological Model

Water, Год журнала: 2021, Номер 13(9), С. 1143 - 1143

Опубликована: Апрель 21, 2021

In the last two decades, effects of global climate change have caused a continuous drying out temperate landscapes. One way in which has manifested is as visible decrease streamflow water recipients. This article aims to answer questions how severe this and what its main cause. The based on analysis daily streamflow, temperature, precipitation data during five years (1 November 2014 31 October 2019) spruce-dominated upland catchment located Czech Republic. Streamflow values were modeled PERSiST hydrological model using temperature obtained from observational E-OBS gridded dataset calibrated against situ measured discharge. Our modeling exercise results show that trend decreasing amounts forest streams was very significant five-year study period, shown example experimental Křtiny, where it reached over −65%. most likely by increasing temperature. An unexpected disproportion found ratio discharge growing seasons, can be simplified an mean +1% per season, effectively causing −10% season regardless period.

Язык: Английский

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Research highlights: modelling to assess climate change impacts and promote development

Environmental Science Processes & Impacts, Год журнала: 2015, Номер 17(8), С. 1359 - 1362

Опубликована: Янв. 1, 2015

This highlight features four recent publications on an ESPA project in the Ganges–Brahmaputra–Meghna (GBM) delta system, emphasizing their balance between fundamental questions and user-oriented outputs.

Язык: Английский

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