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Dr. Shreedhar Maskey
IHE Delft Institute for Water Education

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Research Keywords & Expertise

0 Mountain Hydrology
0 Process-based distributed hydrological modeling
0 Flood and drought forecasting
0 Snow/glaciers modeling
0 Uncertainty analysis and climate change impacts and adaptation

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Editorial
Published: 13 March 2021 in Remote Sensing
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Water is undoubtedly the most valuable resource of human society and an essential component of the ecosystem

ACS Style

Weili Duan; Shreedhar Maskey; Pedro Chaffe; Pingping Luo; Bin He; Yiping Wu; Jingming Hou. Recent Advancement in Remote Sensing Technology for Hydrology Analysis and Water Resources Management. Remote Sensing 2021, 13, 1097 .

AMA Style

Weili Duan, Shreedhar Maskey, Pedro Chaffe, Pingping Luo, Bin He, Yiping Wu, Jingming Hou. Recent Advancement in Remote Sensing Technology for Hydrology Analysis and Water Resources Management. Remote Sensing. 2021; 13 (6):1097.

Chicago/Turabian Style

Weili Duan; Shreedhar Maskey; Pedro Chaffe; Pingping Luo; Bin He; Yiping Wu; Jingming Hou. 2021. "Recent Advancement in Remote Sensing Technology for Hydrology Analysis and Water Resources Management." Remote Sensing 13, no. 6: 1097.

Journal article
Published: 17 November 2020 in Remote Sensing
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Conventional calibration methods adopted in hydrological modelling are based on streamflow data measured at certain river sections. However, streamflow measurements are usually sparse and, in such instances, remote-sensing-based products may be used as an additional dataset(s) in hydrological model calibration. This study compares two main calibration approaches: (a) single variable calibration with streamflow and evapotranspiration separately, and (b) multi-variable calibration with both variables together. Here, we used remote sensing-based evapotranspiration data from Global Land Evaporation: the Amsterdam Model (GLEAM ET), and measured streamflow at four stations to calibrate a Soil and Water Assessment Tool (SWAT) and evaluate the performances for Chindwin Basin, Myanmar. Our results showed that when one variable (either streamflow or evapotranspiration) is used for calibration, it led to good performance with respect to the calibration variable but resulted in reduced performance in the other variable. In the multi-variable calibration using both streamflow and evapotranspiration, reasonable results were obtained for both variables. For example, at the basin outlet, the best NSEs (Nash-Sutcliffe Efficiencies) of streamflow and evapotranspiration on monthly time series are, respectively, 0.98 and 0.59 in the calibration with streamflow alone, and 0.69 and 0.73 in the calibration with evapotranspiration alone. Whereas, in the multi-variable calibration, the NSEs at the basin outlet are 0.97 and 0.64 for streamflow and evapotranspiration, respectively. The results suggest that the GLEAM ET data, together with streamflow data, can be used for model calibration in the study region as the simulation results show reasonable performance for streamflow with an NSE > 0.85. Results also show that many different sets of parameter values (‘good parameter sets’) can produce results comparable to the best parameter set.

ACS Style

T. Sirisena; Shreedhar Maskey; Roshanka Ranasinghe. Hydrological Model Calibration with Streamflow and Remote Sensing Based Evapotranspiration Data in a Data Poor Basin. Remote Sensing 2020, 12, 3768 .

AMA Style

T. Sirisena, Shreedhar Maskey, Roshanka Ranasinghe. Hydrological Model Calibration with Streamflow and Remote Sensing Based Evapotranspiration Data in a Data Poor Basin. Remote Sensing. 2020; 12 (22):3768.

Chicago/Turabian Style

T. Sirisena; Shreedhar Maskey; Roshanka Ranasinghe. 2020. "Hydrological Model Calibration with Streamflow and Remote Sensing Based Evapotranspiration Data in a Data Poor Basin." Remote Sensing 12, no. 22: 3768.

Journal article
Published: 17 October 2020 in Journal of Hydrology: Regional Studies
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The Mekong basin, where climate change and anthropogenic interventions (e.g., dams, sand mining, and sluice gates) have intensified in the recent decades affecting the pristine flow regime and salinity intrusion. This paper aims at quantifying the flow regime alterations in the entire Mekong from 1980 to 2015 and linking with the controlling drivers of alterations. In this regard, various indicators, analytical methods, and a semi two-dimensional hydrodynamic and advection-dispersion model were used. The flow regime alterations in the high-dam development period (2009–2015) are more pronounced than in the low-dam development period (1993–2008), compared to the no-dam development period (1980–1992), based on most of the indicators analyzed. In the high-dam development period all existing dams with large reservoir capacity seemed to have cumulatively reduced the flood pulses and frequency and increased the low-flow discharge along the entire Mekong through reservoir operations, exceeding climate change effect. In the recent years the water levels in the low-flow season in the Vietnamese Mekong Delta (VMD) have decreased, possibly because of increased riverbed incision caused by reduced sediment supply and increased sand mining. The reduced water levels together with the increased number of the sluice gates constructed seemed to have increased salinity intrusion in the VMD which may be partly reduced by early emergency water release from upstream dams.

ACS Style

Doan Van Binh; Sameh A. Kantoush; Mohamed Saber; Nguyen Phuong Mai; Shreedhar Maskey; Dang Tuan Phong; Tetsuya Sumi. Long-term alterations of flow regimes of the Mekong River and adaptation strategies for the Vietnamese Mekong Delta. Journal of Hydrology: Regional Studies 2020, 32, 100742 .

AMA Style

Doan Van Binh, Sameh A. Kantoush, Mohamed Saber, Nguyen Phuong Mai, Shreedhar Maskey, Dang Tuan Phong, Tetsuya Sumi. Long-term alterations of flow regimes of the Mekong River and adaptation strategies for the Vietnamese Mekong Delta. Journal of Hydrology: Regional Studies. 2020; 32 ():100742.

Chicago/Turabian Style

Doan Van Binh; Sameh A. Kantoush; Mohamed Saber; Nguyen Phuong Mai; Shreedhar Maskey; Dang Tuan Phong; Tetsuya Sumi. 2020. "Long-term alterations of flow regimes of the Mekong River and adaptation strategies for the Vietnamese Mekong Delta." Journal of Hydrology: Regional Studies 32, no. : 100742.

Editorial
Published: 13 September 2019 in Journal of Flood Risk Management
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ACS Style

Shreedhar Maskey. How can flood modelling advance in the “big data” age? Journal of Flood Risk Management 2019, 12, 1 .

AMA Style

Shreedhar Maskey. How can flood modelling advance in the “big data” age? Journal of Flood Risk Management. 2019; 12 (S1):1.

Chicago/Turabian Style

Shreedhar Maskey. 2019. "How can flood modelling advance in the “big data” age?" Journal of Flood Risk Management 12, no. S1: 1.

Journal article
Published: 03 July 2018 in Journal of Marine Science and Engineering
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The sediment budget associated with future coastline change in the vicinity of tidal inlets consists of four components; sea level rise-driven landward movement of the coastline (i.e., the Bruun effect), basin infilling effect due to sea level rise-induced increase in accommodation space, basin volume change due to variation in river discharge, and coastline change caused by change in fluvial sediment supply. These four components are affected by climate change and/or anthropogenic impacts. Despite this understanding, holistic modelling techniques that account for all the aforementioned processes under both climate change and anthropogenic influences are lacking. This manuscript presents the applications of a newly-developed reduced complexity modelling approach that accounts for both climate change and anthropogenically-driven impacts on future coastline changes. Modelled results corresponding to the year 2100 indicate considerable coastline recessions at Wilson Inlet (152 m) and the Swan River system (168 m) in Australia and Tu Hien Inlet (305 m) and Thuan An Inlet (148 m) in Vietnam. These results demonstrate that coastline models should incorporate both climate change and anthropogenic impacts to quantify future changes in fluvial sediment supply to coasts to achieve better estimates of total coastline changes at tidal inlets. Omission of these impacts is one of the major drawbacks in all the existing coastline models that simulate future coastline changes at tidal inlets. A comparison of these modelled future coastline changes with the predictions made by a relevant existing modelling technique (Scale Aggregated Model for Inlet-interrupted Coasts (SMIC)) indicates that the latter method overestimates total coastline recessions at the Swan River system, and the Tu Hien and Thuan An Inlets by 7%, 10%, and 30%, respectively, underlining the significance of integrating both climate change and anthropogenic impacts to assess future coastline changes at tidal inlets.

ACS Style

Janaka Bamunawala; Shreedhar Maskey; Trang Minh Duong; Ad Van Der Spek. Significance of Fluvial Sediment Supply in Coastline Modelling at Tidal Inlets. Journal of Marine Science and Engineering 2018, 6, 79 .

AMA Style

Janaka Bamunawala, Shreedhar Maskey, Trang Minh Duong, Ad Van Der Spek. Significance of Fluvial Sediment Supply in Coastline Modelling at Tidal Inlets. Journal of Marine Science and Engineering. 2018; 6 (3):79.

Chicago/Turabian Style

Janaka Bamunawala; Shreedhar Maskey; Trang Minh Duong; Ad Van Der Spek. 2018. "Significance of Fluvial Sediment Supply in Coastline Modelling at Tidal Inlets." Journal of Marine Science and Engineering 6, no. 3: 79.

Journal article
Published: 01 May 2018 in Journal of Coastal Research
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ACS Style

Janaka Bamunawala; Roshanka Ranasinghe; Ad van der Spek; Shreedhar Maskey; Keiko Udo. Assessing Future Coastline Change in the Vicinity of Tidal Inlets via Reduced Complexity Modelling. Journal of Coastal Research 2018, 85, 636 -640.

AMA Style

Janaka Bamunawala, Roshanka Ranasinghe, Ad van der Spek, Shreedhar Maskey, Keiko Udo. Assessing Future Coastline Change in the Vicinity of Tidal Inlets via Reduced Complexity Modelling. Journal of Coastal Research. 2018; 85 ():636-640.

Chicago/Turabian Style

Janaka Bamunawala; Roshanka Ranasinghe; Ad van der Spek; Shreedhar Maskey; Keiko Udo. 2018. "Assessing Future Coastline Change in the Vicinity of Tidal Inlets via Reduced Complexity Modelling." Journal of Coastal Research 85, no. : 636-640.

Journal article
Published: 27 February 2018 in Geosciences
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The Upper Blue Nile (UBN) basin is less-explored in terms of drought studies as compared to other parts of Ethiopia and lacks a basin-specific drought monitoring system. This study compares six drought indices: Standardized Precipitation Index (SPI), Standardized Precipitation Evaporation Index (SPEI), Evapotranspiration Deficit Index (ETDI), Soil Moisture Deficit Index (SMDI), Aggregate Drought Index (ADI), and Standardized Runoff-discharge Index (SRI), and evaluates their performance with respect to identifying historic drought events in the UBN basin. The indices were calculated using monthly time series of observed precipitation, average temperature, river discharge, and modeled evapotranspiration and soil moisture from 1970 to 2010. The Pearson’s correlation coefficients between the six drought indices were analyzed. SPI and SPEI at 3-month aggregate period showed high correlation with ETDI and SMDI (r > 0.62), while SPI and SPEI at 12-month aggregate period correlate better with SRI. The performance of the six drought indices in identifying historic droughts: 1973–1974, 1983–1984, 1994–1995, and 2003–2004 was analyzed using data obtained from Emergency Events Database (EM-DAT) and previous studies. When drought onset dates indicated by the six drought indices are compared with that in the EM-DAT. SPI, and SPEI showed early onsets of drought events, except 2003–2004 drought for which the onset date was unavailable in EM-DAT. Similarly, ETDI, SMDI and SRI-3 showed early onset for two drought events and late onsets in one-drought event. In contrast, ADI showed late onsets for two drought events and early onset for one drought event. None of the six drought indices could individually identify the onsets of all the selected historic drought events; however, they may identify the onsets when combined by considering several input variables at different aggregate periods.

ACS Style

Yared Bayissa; Shreedhar Maskey; Tsegaye Tadesse; Schalk Jan Van Andel; Semu Moges; Ann Van Griensven; Dimitri Solomatine. Comparison of the Performance of Six Drought Indices in Characterizing Historical Drought for the Upper Blue Nile Basin, Ethiopia. Geosciences 2018, 8, 81 .

AMA Style

Yared Bayissa, Shreedhar Maskey, Tsegaye Tadesse, Schalk Jan Van Andel, Semu Moges, Ann Van Griensven, Dimitri Solomatine. Comparison of the Performance of Six Drought Indices in Characterizing Historical Drought for the Upper Blue Nile Basin, Ethiopia. Geosciences. 2018; 8 (3):81.

Chicago/Turabian Style

Yared Bayissa; Shreedhar Maskey; Tsegaye Tadesse; Schalk Jan Van Andel; Semu Moges; Ann Van Griensven; Dimitri Solomatine. 2018. "Comparison of the Performance of Six Drought Indices in Characterizing Historical Drought for the Upper Blue Nile Basin, Ethiopia." Geosciences 8, no. 3: 81.

Journal article
Published: 23 November 2017 in Science of The Total Environment
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Rice yields in Thailand are among the lowest in Asia. In northeast Thailand where about 90% of rice cultivation is rain-fed, climate variability and change affect rice yields. Understanding climate characteristics and their impacts on the rice yield is important for establishing proper adaptation and mitigation measures to enhance productivity. In this paper, we investigate climatic conditions of the past 30 years (1984–2013) and assess the impacts of the recent climate trends on rice yields in the Mun River Basin in northeast Thailand. We also analyze the relationship between rice yield and a drought indicator (Standardized Precipitation and Evapotranspiration Index, SPEI), and the impact of SPEI trends on the yield. Our results indicate that the total yield losses due to past climate trends are rather low, in the range of < 50 kg/ha per decade (3% of actual average yields). In general, increasing trends in minimum and maximum temperatures lead to modest yield losses. In contrast, precipitation and SPEI-1, i.e. SPEI based on one monthly data, show positive correlations with yields in all months, except in the wettest month (September). If increasing trends of temperatures during the growing season persist, a likely climate change scenario, there is high possibility that the yield losses will become more serious in future. In this paper, we show that the drought index SPEI-1 detects soil moisture deficiency and crop stress in rice better than precipitation or precipitation based indicators. Further, our results emphasize the importance of spatial and temporal resolutions in detecting climate trends and impacts on yields.

ACS Style

Saowanit Prabnakorn; Shreedhar Maskey; F.X. Suryadi; Charlotte de Fraiture. Rice yield in response to climate trends and drought index in the Mun River Basin, Thailand. Science of The Total Environment 2017, 621, 108 -119.

AMA Style

Saowanit Prabnakorn, Shreedhar Maskey, F.X. Suryadi, Charlotte de Fraiture. Rice yield in response to climate trends and drought index in the Mun River Basin, Thailand. Science of The Total Environment. 2017; 621 ():108-119.

Chicago/Turabian Style

Saowanit Prabnakorn; Shreedhar Maskey; F.X. Suryadi; Charlotte de Fraiture. 2017. "Rice yield in response to climate trends and drought index in the Mun River Basin, Thailand." Science of The Total Environment 621, no. : 108-119.

Article
Published: 21 December 2016 in Climatic Change
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This study applies the soil and water assessment tool (SWAT), with climate (precipitation and temperature) outputs from four general circulation models (GCMs) and a regional circulation model (PRECIS), to evaluate (1) the impacts of climate change on reservoir sedimentation and (2) the impacts of climate change and reservoir development on sediment outflow in the Nam Ou River Basin located in northern Laos. Three reservoir–density scenarios, namely one reservoir (1R), three reservoirs in series (3R), and five reservoirs in series (5R), were evaluated for both no climate change and climate change conditions. The results show that under no climate change conditions, by 2070, around 17, 14, and 15% of the existing reservoir storage volume in the basin will be lost for 1R, 3R, and 5R scenarios, respectively. Notably, under climate change scenario with highest changes in erosion and sediment outflux from the basin, the additional reduction in reservoir storage capacity due to sedimentation is estimated to be nearly 26% for 1R, 21% for 3R, and 23% for 5R. Climate change alone is projected to change annual sediment outflux from the basin by −20 to 151%. In contrast, the development of reservoirs in the basin will reduce the annual sediment outflux from the basin varying from 44 to 80% for 1R, 44–81% for 3R, and 66–89% for 5R, considering climate change. In conclusion, climate change is expected to increase the sediment yield of the Nam Ou Basin, resulting in faster reduction of the reservoir’s storage capacity. Sediment yield from the Nam Ou River Basin is likely to decrease significantly due to the trapping of sediment by planned reservoirs. The impact of reservoirs is much more significant than the impact of climate change on the sediment outflow of the basin. Hence, it is necessary to investigate appropriate reservoir sediment management strategies.

ACS Style

Bikesh Shrestha; Shreedhar Maskey; Mukand S. Babel; Ann Van Griensven; Stefan Uhlenbrook. Sediment related impacts of climate change and reservoir development in the Lower Mekong River Basin: a case study of the Nam Ou Basin, Lao PDR. Climatic Change 2016, 149, 13 -27.

AMA Style

Bikesh Shrestha, Shreedhar Maskey, Mukand S. Babel, Ann Van Griensven, Stefan Uhlenbrook. Sediment related impacts of climate change and reservoir development in the Lower Mekong River Basin: a case study of the Nam Ou Basin, Lao PDR. Climatic Change. 2016; 149 (1):13-27.

Chicago/Turabian Style

Bikesh Shrestha; Shreedhar Maskey; Mukand S. Babel; Ann Van Griensven; Stefan Uhlenbrook. 2016. "Sediment related impacts of climate change and reservoir development in the Lower Mekong River Basin: a case study of the Nam Ou Basin, Lao PDR." Climatic Change 149, no. 1: 13-27.

Journal article
Published: 01 September 2016 in Field Crops Research
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Highlights•CERES-Rice model is calibrated using a Robust Parameter Estimation (ROPE) method.•Rice growth in the Vietnam Mekong Delta is simulated well by the CERES-Rice model.•A two-stage calibration using ROPE is found effective with the CERES-Rice model.•Robust parameter ranges for two rice cultivars Jasmine 85 and VD20 are proposed. AbstractRice crop models, such as CERES-Rice, are useful tools to predict rice growth and understand the effects of climatic and management changes on rice yield. As these models involve complex processes, non-linearity and interdependence of parameters may result in high uncertainty in model results. In this study, we tested the CERES-Rice model in the Vietnam Mekong Delta for two rice cultivars (Jasmine 85 and VD20) in four experimental sites. We applied a two-stage calibration procedure. In the first stage, initial sets of good performing parameters were identified. In the second stage, the good performing parameter sets and their minimum-maximum ranges were refined using the Robust Parameter Estimation (ROPE) approach. We found that in the first calibration stage, the majority of the parameter sets that performed well in the calibration sites performed poorly in the validation sites. For example, the simulated rice yields were within +/−5% of the observed yields in the calibration sites. But in the validation sites, the same parameter sets resulted in the differences of −77% to 19% for Jasmine 85 and −47% to 9.5% for VD20. This is because these parameter sets had a broad range of values, which compensated each other well in calibration but were less successful to do so in validation. When the ROPE was applied, the value ranges of the parameters narrowed down and the model performance in validation improved. In general, the parameter ranges identified by ROPE are considered more robust and have higher probability to perform better. Our positive results show a good potential of the ROPE approach for calibration of the CERES-Rice model, which can also be applied with similar other crop growth models. The robust parameter value ranges derived in this study may be used as reference parameter values for future applications of the model in the region.

ACS Style

Linh Hoang; Trieu Anh Ngoc; Shreedhar Maskey. A robust parameter approach for estimating CERES-Rice model parameters for the Vietnam Mekong Delta. Field Crops Research 2016, 196, 98 -111.

AMA Style

Linh Hoang, Trieu Anh Ngoc, Shreedhar Maskey. A robust parameter approach for estimating CERES-Rice model parameters for the Vietnam Mekong Delta. Field Crops Research. 2016; 196 ():98-111.

Chicago/Turabian Style

Linh Hoang; Trieu Anh Ngoc; Shreedhar Maskey. 2016. "A robust parameter approach for estimating CERES-Rice model parameters for the Vietnam Mekong Delta." Field Crops Research 196, no. : 98-111.

Articles
Published: 12 April 2016 in Hydrological Sciences Journal
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In 2013, the International Association of Hydrological Sciences (IAHS) launched the hydrological decade 2013–2022 with the theme “Panta Rhei: Change in Hydrology and Society”. The decade recognizes the urgency of hydrological research to understand and predict the interactions of society and water, to support sustainable water resource use under changing climatic and environmental conditions. This paper reports on the first Panta Rhei biennium 2013–2015, providing a comprehensive resource that describes the scope and direction of Panta Rhei. We bring together the knowledge of all the Panta Rhei working groups, to summarize the most pressing research questions and how the hydrological community is progressing towards those goals. We draw out interconnections between different strands of research, and reflect on the need to take a global view on hydrology in the current era of human impacts and environmental change. Finally, we look back to the six driving science questions identified at the outset of Panta Rhei, to quantify progress towards those aims.

ACS Style

Hilary McMillan; Alberto Montanari; Christophe Cudennec; Hubert Savenije; Heidi Kreibich; Tobias Krueger; Junguo Liu; Alfonso Mejia; Anne F. Van Loon; Hafzullah Aksoy; Giuliano Di Baldassarre; Yan Huang; Dominc Mazvimavi; Magdalena Rogger; Bellie Sivakumar; Tatiana Bibikova; Attilio Castellarin; Yangbo Chen; David C. Finger; Alexander Gelfan; David M. Hannah; Arjen Y. Hoekstra; Hongyi Li; Shreedhar Maskey; Thibault Mathevet; Ana Mijic; Adrián Pedrozo Acuña; María J. Polo; Victor Rosales; Paul Smith; Alberto Viglione; Veena Srinivasan; Elena Toth; Ronald Van Nooyen; Jun Xia; Hubert Savenjie; Tobias Krüger; Alfonso Meija; Sivakumar Bellie. Panta Rhei 2013–2015: global perspectives on hydrology, society and change. Hydrological Sciences Journal 2016, 1 -18.

AMA Style

Hilary McMillan, Alberto Montanari, Christophe Cudennec, Hubert Savenije, Heidi Kreibich, Tobias Krueger, Junguo Liu, Alfonso Mejia, Anne F. Van Loon, Hafzullah Aksoy, Giuliano Di Baldassarre, Yan Huang, Dominc Mazvimavi, Magdalena Rogger, Bellie Sivakumar, Tatiana Bibikova, Attilio Castellarin, Yangbo Chen, David C. Finger, Alexander Gelfan, David M. Hannah, Arjen Y. Hoekstra, Hongyi Li, Shreedhar Maskey, Thibault Mathevet, Ana Mijic, Adrián Pedrozo Acuña, María J. Polo, Victor Rosales, Paul Smith, Alberto Viglione, Veena Srinivasan, Elena Toth, Ronald Van Nooyen, Jun Xia, Hubert Savenjie, Tobias Krüger, Alfonso Meija, Sivakumar Bellie. Panta Rhei 2013–2015: global perspectives on hydrology, society and change. Hydrological Sciences Journal. 2016; ():1-18.

Chicago/Turabian Style

Hilary McMillan; Alberto Montanari; Christophe Cudennec; Hubert Savenije; Heidi Kreibich; Tobias Krueger; Junguo Liu; Alfonso Mejia; Anne F. Van Loon; Hafzullah Aksoy; Giuliano Di Baldassarre; Yan Huang; Dominc Mazvimavi; Magdalena Rogger; Bellie Sivakumar; Tatiana Bibikova; Attilio Castellarin; Yangbo Chen; David C. Finger; Alexander Gelfan; David M. Hannah; Arjen Y. Hoekstra; Hongyi Li; Shreedhar Maskey; Thibault Mathevet; Ana Mijic; Adrián Pedrozo Acuña; María J. Polo; Victor Rosales; Paul Smith; Alberto Viglione; Veena Srinivasan; Elena Toth; Ronald Van Nooyen; Jun Xia; Hubert Savenjie; Tobias Krüger; Alfonso Meija; Sivakumar Bellie. 2016. "Panta Rhei 2013–2015: global perspectives on hydrology, society and change." Hydrological Sciences Journal , no. : 1-18.

Articles
Published: 23 September 2015 in Hydrological Sciences Journal
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This study investigates the spatial and temporal variation of meteorological droughts in the Upper Blue Nile (UBN) basin in Ethiopia using long historical records (1953–2009) for 14 meteorological stations, and relatively short records (1975–2009) for 23 other stations. The influence of using varying record length on drought category was studied by comparing the Standard Precipitation Index (SPI) results from the 14 stations with long record length, by taking out incrementally 1-year records from 1953 to 1975. These analyses show that the record length from 1953 to 1975 has limited effect on changing the drought category and hence the record length from 1975 to 2009 could be used for drought analysis in the UBN basin. Spatio-temporal analyses of the SPI values show that throughout the UBN basin seasonal or annual meteorological drought episodes occurred in the years 1978/79, 1984/85, 1994/95 and 2003/04. Persistency from seasonal to annual drought, and from one year to the next, has been found. The drought years identified by this SPI analysis for the UBN basin are known for their devastating impact in other parts of Ethiopia.

ACS Style

Yared A. Bayissa; Semu A. Moges; Yunqing Xuan; Schalk J. Van Andel; Shreedhar Maskey; Dimitri P. Solomatine; Ann Van Griensven; Tsegaye Tadesse. Spatio-temporal assessment of meteorological drought under the influence of varying record length: the case of Upper Blue Nile Basin, Ethiopia. Hydrological Sciences Journal 2015, 1 -16.

AMA Style

Yared A. Bayissa, Semu A. Moges, Yunqing Xuan, Schalk J. Van Andel, Shreedhar Maskey, Dimitri P. Solomatine, Ann Van Griensven, Tsegaye Tadesse. Spatio-temporal assessment of meteorological drought under the influence of varying record length: the case of Upper Blue Nile Basin, Ethiopia. Hydrological Sciences Journal. 2015; ():1-16.

Chicago/Turabian Style

Yared A. Bayissa; Semu A. Moges; Yunqing Xuan; Schalk J. Van Andel; Shreedhar Maskey; Dimitri P. Solomatine; Ann Van Griensven; Tsegaye Tadesse. 2015. "Spatio-temporal assessment of meteorological drought under the influence of varying record length: the case of Upper Blue Nile Basin, Ethiopia." Hydrological Sciences Journal , no. : 1-16.

Journal article
Published: 17 April 2015 in International Journal of Climatology
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This study analyzes temperature projections in the Koshi River Basin in Nepal using data obtained from ten General Circulation Models (GCMs) for three IPCC Special Range of Emission Scenarios (SRES): B1, A1B and A2. Low resolution data of minimum and maximum temperature obtained from the selected GCMs was downscaled using the statistical downscaling model Long Ashton Research Station Weather Generator (LARS‐WG) for ten stations located in two physiographic regions of the study area: the Middle Mountains (1500–2700 m) and the Siwalik Hills (700–1500 m). The projected temperature and differences in projections among individual GCM projections for changes in the mean value of seasonal and annual Tmin and Tmax are presented for three future periods: 2011–2030 (2020s), 2046–2065 (2055s) and 2080–2099 (2090s). We also analyzed the baseline period and future Tmin and Tmax data through seven indices, as recommended by the Expert Team on Climate Change Detection, Monitoring and Indices (ETCCDMI). Results show that the LARS‐WG model performs well when downscaling Tmin and Tmax. An increase in seasonal as well as mean annual minimum and maximum temperature is projected for all three future periods. Projected warming, as well as the differences among projections from different GCMs, increases with time for each of the three scenarios. The cold years during the 2055s and 2090s are expected to be hotter than the hot years during the baseline period. The increase in temperature, as well as the range of uncertainty, is expected to be higher in the Mountains than in the Hills. The number of summer days and tropical nights is expected to increase during all three future periods. The temperature of the coldest day, coldest night, warmest day and warmest night is also expected to increase in both the regions during all three future periods.

ACS Style

Anshul Agarwal; Mukand S. Babel; Shreedhar Maskey; Sangam Shrestha; Akiyuki Kawasaki; Nitin K. Tripathi. Analysis of temperature projections in the Koshi River Basin, Nepal. International Journal of Climatology 2015, 36, 266 -279.

AMA Style

Anshul Agarwal, Mukand S. Babel, Shreedhar Maskey, Sangam Shrestha, Akiyuki Kawasaki, Nitin K. Tripathi. Analysis of temperature projections in the Koshi River Basin, Nepal. International Journal of Climatology. 2015; 36 (1):266-279.

Chicago/Turabian Style

Anshul Agarwal; Mukand S. Babel; Shreedhar Maskey; Sangam Shrestha; Akiyuki Kawasaki; Nitin K. Tripathi. 2015. "Analysis of temperature projections in the Koshi River Basin, Nepal." International Journal of Climatology 36, no. 1: 266-279.

Journal article
Published: 13 April 2015 in Hydrology and Earth System Sciences
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Ensemble hydrological predictions are normally obtained by forcing hydrological models with ensembles of atmospheric forecasts produced by numerical weather prediction models. To be of practical value to water users, such forecasts should not only be sufficiently skilful, they should also provide information that is relevant to the decisions end users make. The semi-arid Limpopo Basin in southern Africa has experienced severe droughts in the past, resulting in crop failure, economic losses and the need for humanitarian aid. In this paper we address the seasonal prediction of hydrological drought in the Limpopo River basin by testing three proposed forecasting systems (FS) that can provide operational guidance to reservoir operators and water managers at the seasonal timescale. All three FS include a distributed hydrological model of the basin, which is forced with either (i) a global atmospheric model forecast (ECMWF seasonal forecast system – S4), (ii) the commonly applied ensemble streamflow prediction approach (ESP) using resampled historical data, or (iii) a conditional ESP approach (ESPcond) that is conditional on the ENSO (El Niño–Southern Oscillation) signal. We determine the skill of the three systems in predicting streamflow and commonly used drought indices. We also assess the skill in predicting indicators that are meaningful to local end users in the basin. FS_S4 shows moderate skill for all lead times (3, 4, and 5 months) and aggregation periods. FS_ESP also performs better than climatology for the shorter lead times, but with lower skill than FS_S4. FS_ESPcond shows intermediate skill compared to the other two FS, though its skill is shown to be more robust. The skill of FS_ESP and FS_ESPcond is found to decrease rapidly with increasing lead time when compared to FS_S4. The results show that both FS_S4 and FS_ESPcond have good potential for seasonal hydrological drought forecasting in the Limpopo River basin, which is encouraging in the context of providing better operational guidance to water users.

ACS Style

P. Trambauer; M. Werner; H. C. Winsemius; S. Maskey; E. Dutra; Stefan Uhlenbrook. Hydrological drought forecasting and skill assessment for the Limpopo River basin, southern Africa. Hydrology and Earth System Sciences 2015, 19, 1695 -1711.

AMA Style

P. Trambauer, M. Werner, H. C. Winsemius, S. Maskey, E. Dutra, Stefan Uhlenbrook. Hydrological drought forecasting and skill assessment for the Limpopo River basin, southern Africa. Hydrology and Earth System Sciences. 2015; 19 (4):1695-1711.

Chicago/Turabian Style

P. Trambauer; M. Werner; H. C. Winsemius; S. Maskey; E. Dutra; Stefan Uhlenbrook. 2015. "Hydrological drought forecasting and skill assessment for the Limpopo River basin, southern Africa." Hydrology and Earth System Sciences 19, no. 4: 1695-1711.

Journal article
Published: 10 April 2015 in International Journal of Climatology
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Empirical statistical downscaling methods are becoming increasingly popular in climate change impact assessments that require downscaling multi‐global climate model (GCM) projections. Here, empirical statistical downscaling methods are classified based on calibration strategies [bias correction (BC) and change factor (CF)] and statistical transformations (mean based, variance based, quantile mapping, quantile correcting and transfer function methods). Ten combinations of calibration strategies and transformation methods are used to represent a range of empirical statistical downscaling methods. To test the performance of these methods in downscaling daily precipitation and temperature, an inter‐model cross‐validation is carried out using an ensemble of 16 GCMs from the Coupled Model Intercomparison Project Phase 5 (CMIP5) dataset over the Huai River Basin in China. These downscaling methods are further applied to downscale the climate for the future period to assess the associated uncertainties. The results show that the CF‐based methods outperform the BC‐based methods in projecting the probability distribution of downscaled daily temperature, while both calibration strategies give comparable results in the case of precipitation. With the CF calibration strategy, simply adding (for temperature) or multiplying (for precipitation) the mean CF is sufficient to represent most of the relative changes projected by GCMs. The use of quantile‐based methods appears to be advantageous only at the tails of the distribution. More sophisticated BC methods are needed to remove the biases in the higher‐order statistics of the GCM outputs. The two calibration strategies lead to fundamentally different temporal structures and spatial variability of the downscaled climatic variables. The BC‐based methods produce larger uncertainty bands of inter‐annual variability than the CF‐based methods. For downscaled future precipitation, the uncertainty arising from the downscaling methods is comparable to the uncertainty arising from GCMs, while more uncertainty is introduced by calibration strategies than by statistical transformation methods.

ACS Style

L. Wang; Roshanka Ranasinghe; S. Maskey; Pieter van Gelder; J. K. Vrijling. Comparison of empirical statistical methods for downscaling daily climate projections from CMIP5 GCMs: a case study of the Huai River Basin, China. International Journal of Climatology 2015, 36, 145 -164.

AMA Style

L. Wang, Roshanka Ranasinghe, S. Maskey, Pieter van Gelder, J. K. Vrijling. Comparison of empirical statistical methods for downscaling daily climate projections from CMIP5 GCMs: a case study of the Huai River Basin, China. International Journal of Climatology. 2015; 36 (1):145-164.

Chicago/Turabian Style

L. Wang; Roshanka Ranasinghe; S. Maskey; Pieter van Gelder; J. K. Vrijling. 2015. "Comparison of empirical statistical methods for downscaling daily climate projections from CMIP5 GCMs: a case study of the Huai River Basin, China." International Journal of Climatology 36, no. 1: 145-164.

Journal article
Published: 26 February 2015 in Hydrology and Earth System Sciences
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Global climate change has received much attention worldwide in the scientific as well as in the political community, indicating that changes in precipitation, extreme droughts and floods may increasingly threaten many regions. Drought is a natural phenomenon that causes social, economical and environmental damage to society. In this study, we assess the drought intensity and severity and the groundwater potential to be used as a supplementary source of water to mitigate drought impacts in the Crocodile River catchment, a water-stressed sub-catchment of the Incomati River catchment in South Africa. The research methodology consists of three parts. First, the spatial and temporal variation of the meteorological and hydrological drought severity and intensity over the catchment were evaluated. The Standardized Precipitation Index (SPI) was used to analyse the meteorological drought and the Standardized Runoff Index (SRI) was used for the hydrological drought. Second, the water deficit in the catchment during the drought period was computed using a simple water balance method. Finally, a groundwater model was constructed in order to assess the feasibility of using groundwater as an emergency source for drought impact mitigation. Results show that the low-rainfall areas are more vulnerable to severe meteorological droughts (lower and upper crocodile). Moreover, the most water stressed sub-catchments with high level of water uses but limited storage, such as the Kaap located in the middle catchment and the Lower Crocodile sub-catchments, are more vulnerable to severe hydrological droughts. The analysis of the potential groundwater use during droughts showed that a deficit of 97 Mm3 yr−1 could be supplied from groundwater without considerable adverse impacts on the river base flow and groundwater storage. Abstraction simulations for different scenarios of extremely severe droughts reveal that it is possible to use groundwater to cope with the droughts in the catchment. However, local groundwater exploitation in Nelspruit and White River sub-catchment will cause large drawdowns (> 10 m) and high base flow reduction (> 20%). This case study shows that conjunctive water management of groundwater and surface water resources is necessary to mitigate the impacts of droughts.

ACS Style

F. E. F. Mussá; Y. Zhou; Shreedhar Maskey; İlyas Masih; Stefan Uhlenbrook. Groundwater as an emergency source for drought mitigation in the Crocodile River catchment, South Africa. Hydrology and Earth System Sciences 2015, 19, 1093 -1106.

AMA Style

F. E. F. Mussá, Y. Zhou, Shreedhar Maskey, İlyas Masih, Stefan Uhlenbrook. Groundwater as an emergency source for drought mitigation in the Crocodile River catchment, South Africa. Hydrology and Earth System Sciences. 2015; 19 (2):1093-1106.

Chicago/Turabian Style

F. E. F. Mussá; Y. Zhou; Shreedhar Maskey; İlyas Masih; Stefan Uhlenbrook. 2015. "Groundwater as an emergency source for drought mitigation in the Crocodile River catchment, South Africa." Hydrology and Earth System Sciences 19, no. 2: 1093-1106.

Journal article
Published: 01 February 2015 in Agricultural Systems
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ACS Style

Irene Palazzoli; S. Maskey; Stefan Uhlenbrook; E. Nana; D. Bocchiola. Impact of prospective climate change on water resources and crop yields in the Indrawati basin, Nepal. Agricultural Systems 2015, 133, 143 -157.

AMA Style

Irene Palazzoli, S. Maskey, Stefan Uhlenbrook, E. Nana, D. Bocchiola. Impact of prospective climate change on water resources and crop yields in the Indrawati basin, Nepal. Agricultural Systems. 2015; 133 ():143-157.

Chicago/Turabian Style

Irene Palazzoli; S. Maskey; Stefan Uhlenbrook; E. Nana; D. Bocchiola. 2015. "Impact of prospective climate change on water resources and crop yields in the Indrawati basin, Nepal." Agricultural Systems 133, no. : 143-157.

Book chapter
Published: 01 January 2015 in Hydro-Meteorological Hazards, Risks and Disasters
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ACS Style

Shreedhar Maskey; Patricia Trambauer. Hydrological Modeling for Drought Assessment. Hydro-Meteorological Hazards, Risks and Disasters 2015, 263 -282.

AMA Style

Shreedhar Maskey, Patricia Trambauer. Hydrological Modeling for Drought Assessment. Hydro-Meteorological Hazards, Risks and Disasters. 2015; ():263-282.

Chicago/Turabian Style

Shreedhar Maskey; Patricia Trambauer. 2015. "Hydrological Modeling for Drought Assessment." Hydro-Meteorological Hazards, Risks and Disasters , no. : 263-282.

Journal article
Published: 18 December 2014 in Hydrology and Earth System Sciences
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In the present study, we developed a catchment hydrological model which can be used to inform water resources planning and decision making for better management of the Migina Catchment (257.4 km2). The semi-distributed hydrological model HEC-HMS (Hydrologic Engineering Center – the Hydrologic Modelling System) (version 3.5) was used with its soil moisture accounting, unit hydrograph, liner reservoir (for baseflow) and Muskingum–Cunge (river routing) methods. We used rainfall data from 12 stations and streamflow data from 5 stations, which were collected as part of this study over a period of 2 years (May 2009 and June 2011). The catchment was divided into five sub-catchments. The model parameters were calibrated separately for each sub-catchment using the observed streamflow data. Calibration results obtained were found acceptable at four stations with a Nash–Sutcliffe model efficiency index (NS) of 0.65 on daily runoff at the catchment outlet. Due to the lack of sufficient and reliable data for longer periods, a model validation was not undertaken. However, we used results from tracer-based hydrograph separation from a previous study to compare our model results in terms of the runoff components. The model performed reasonably well in simulating the total flow volume, peak flow and timing as well as the portion of direct runoff and baseflow. We observed considerable disparities in the parameters (e.g. groundwater storage) and runoff components across the five sub-catchments, which provided insights into the different hydrological processes on a sub-catchment scale. We conclude that such disparities justify the need to consider catchment subdivisions if such parameters and components of the water cycle are to form the base for decision making in water resources planning in the catchment.

ACS Style

O. Munyaneza; A. Mukubwa; S. Maskey; Stefan Uhlenbrook; J. Wenninger. Assessment of surface water resources availability using catchment modelling and the results of tracer studies in the mesoscale Migina Catchment, Rwanda. Hydrology and Earth System Sciences 2014, 18, 5289 -5301.

AMA Style

O. Munyaneza, A. Mukubwa, S. Maskey, Stefan Uhlenbrook, J. Wenninger. Assessment of surface water resources availability using catchment modelling and the results of tracer studies in the mesoscale Migina Catchment, Rwanda. Hydrology and Earth System Sciences. 2014; 18 (12):5289-5301.

Chicago/Turabian Style

O. Munyaneza; A. Mukubwa; S. Maskey; Stefan Uhlenbrook; J. Wenninger. 2014. "Assessment of surface water resources availability using catchment modelling and the results of tracer studies in the mesoscale Migina Catchment, Rwanda." Hydrology and Earth System Sciences 18, no. 12: 5289-5301.

Contributors
Published: 07 November 2014 in Hydro-Meteorological Hazards, Risks and Disasters
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Konstantinos M. Andreadis; Stefano Balbi; S.F. Balica; Paul D. Bates; Gerardo Benito; Claudio Biscaro; Thom Bogaard; S. Bohms; M. Budde; Amy Dabrowa; Giuliano Di Baldassarre; Andres Díez-Herrero; Q. Dinh; Animesh K. Gain; Carlo Giupponi; Shreedhar Maskey; Vahid Mojtahed; Micah Mukolwe; Jeffrey C. Neal; I. Popescu; Magdalena Rogger; J. Rowland; Guy J.-P. Schumann; G.B. Senay; Dimitri P. Solomatine; Patricia Trambauer; N.M. Velpuri; J.P. Verdin; Alberto Viglione; Kun Yan; C. Young. Contributors. Hydro-Meteorological Hazards, Risks and Disasters 2014, 1 .

AMA Style

Konstantinos M. Andreadis, Stefano Balbi, S.F. Balica, Paul D. Bates, Gerardo Benito, Claudio Biscaro, Thom Bogaard, S. Bohms, M. Budde, Amy Dabrowa, Giuliano Di Baldassarre, Andres Díez-Herrero, Q. Dinh, Animesh K. Gain, Carlo Giupponi, Shreedhar Maskey, Vahid Mojtahed, Micah Mukolwe, Jeffrey C. Neal, I. Popescu, Magdalena Rogger, J. Rowland, Guy J.-P. Schumann, G.B. Senay, Dimitri P. Solomatine, Patricia Trambauer, N.M. Velpuri, J.P. Verdin, Alberto Viglione, Kun Yan, C. Young. Contributors. Hydro-Meteorological Hazards, Risks and Disasters. 2014; ():1.

Chicago/Turabian Style

Konstantinos M. Andreadis; Stefano Balbi; S.F. Balica; Paul D. Bates; Gerardo Benito; Claudio Biscaro; Thom Bogaard; S. Bohms; M. Budde; Amy Dabrowa; Giuliano Di Baldassarre; Andres Díez-Herrero; Q. Dinh; Animesh K. Gain; Carlo Giupponi; Shreedhar Maskey; Vahid Mojtahed; Micah Mukolwe; Jeffrey C. Neal; I. Popescu; Magdalena Rogger; J. Rowland; Guy J.-P. Schumann; G.B. Senay; Dimitri P. Solomatine; Patricia Trambauer; N.M. Velpuri; J.P. Verdin; Alberto Viglione; Kun Yan; C. Young. 2014. "Contributors." Hydro-Meteorological Hazards, Risks and Disasters , no. : 1.