Article
Geosciences, Multidisciplinary
Chelsea Ackroyd, S. McKenzie Skiles, Karl Rittger, Joachim Meyer
Summary: High Mountain Asia has a significant impact on climate and hydrology due to its large snow cover. Using MODIS data from 2002 to 2017, trends in snow cover duration show a general decline, with the longest duration in western basins and the shortest in eastern basins.
FRONTIERS IN EARTH SCIENCE
(2021)
Article
Green & Sustainable Science & Technology
Xiangyao Meng, Yongqiang Liu, Yan Qin, Weiping Wang, Mengxiao Zhang, Kun Zhang
Summary: Global warming affects the hydrological characteristics of the cryosphere. The simulation of snowmelt water runoff in mountainous areas is crucial in hydrological research. This study focuses on the Hutubi River Basin and uses the SRM model to simulate snowmelt runoff, with evaluation of simulation accuracy.
Article
Engineering, Environmental
Peiman Parisouj, Hadi Mohammadzadeh Khani, Feroz Islam, Changhyun Jun, Sayed M. M. Bateni, Dongkyun Kim
Summary: Data-driven techniques and machine learning models such as LSTM and SVR were used to predict streamflow time series in the Carson River and Montmorency catchments. The MODIS snow-coverage dataset was utilized to improve the accuracy of the predictions. Results showed that incorporating MODIS data enhanced the models' performance, with SVR and LSTM achieving the best results using monthly and daily snowmelt time series, respectively. Machine learning proves to be a reliable method for runoff forecasting, especially for high-volume data processing in global climate forecasts.
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
(2023)
Article
Water Resources
Michal Jenicek, Jan Hnilica, Ondrej Nedelcev, Vaclav Sipek
Summary: The study in Central Europe, Czechia focused on the impact of future snow changes on hydrology, projecting a decrease in annual maximum snow water equivalent by 30%-70% and an average 3-4 week earlier snowmelt. The decrease in snowpack will lead to earlier peak streamflow during melting season and lower spring runoff volumes. Future climate projections also suggest overall dry conditions in summer are associated with the lowest summer precipitation and reduced seasonal snowpack.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Water Resources
Vahid Nourani, Amin Afkhaminia, Soghra Andaryani, Yongqiang Zhang
Summary: This study utilized the snowmelt runoff model to estimate the impact of snow on surface flow in the Aji-Chay basin of northwest Iran, employing two calibration techniques to enhance accuracy. Results showed a 15% improvement in model performance with the multi-station calibration strategy, and significant variations in snowmelt contributions to river flow across different months.
HYDROLOGY RESEARCH
(2021)
Article
Environmental Sciences
Mohammad Reza Goodarzi, Maryam Sabaghzadeh, Majid Niazkar
Summary: This study examined the impact of snowmelt on flooding and found that the contribution of snowmelt is more significant than rainfall in stream flows, especially in high-altitude areas.
Article
Water Resources
Yin Zhang, Gulimire Hanati, Sulitan Danierhan, Keke Hu
Summary: This study uses a geographic weighted regression model to downscale the low-resolution global precipitation measurement (GPM) data, improving its application efficiency in simulating snowmelt runoff in high-altitude areas lacking monitoring stations. The results show that the downscaled GPM dataset performs well in simulating runoff, although slightly less accurate than the observed data. The study demonstrates the potential of using the downscaled GPM dataset as an effective alternative in areas without observed data.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Environmental Sciences
Kyle Siemens, Yonas Dibike, Rajesh R. Shrestha, Terry Prowse
Summary: The study used the degree-day Snowmelt Runoff Model (SRM) combined with MODIS to remotely sense various factors for predicting future runoff changes. The SRM simulations showed consistent patterns in historical flows and future projections, demonstrating good performance in simulating runoff.
Article
Engineering, Civil
Roman Juras, Johanna R. Blocher, Michal Jenicek, Ondrej Hotovy, Yannis Markonis
Summary: Rain-on-snow events have a significant impact on the hydrological regime of rivers in regions with seasonal snow cover. Analysis shows that only a small percentage of ROS events result in high runoff, while most events do not cause a significant increase in runoff. High volumes of rain and low snow cover are identified as important factors in generating high runoffs.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Fadji Z. Maina, Sujay V. Kumar
Summary: Rain-on-snow (ROS) in High Mountain Asia (HMA) has significant impacts on snowmelt and runoff, affecting water availability and hazards. Our study reveals that changes in precipitation phase and rainfall are modifying ROS characteristics and trends in HMA. The Indus basin shows an increasing trend in ROS, while the Ganges-Brahmaputra basin exhibits a decreasing trend. The northwestern basins show bidirectional trends in ROS due to elevation patterns and rainfall trends. These findings provide valuable insights into the hydrological cycle changes driven by ROS in HMA.
Article
Environmental Sciences
Margaret A. Wolf, Logan R. Jamison, D. Kip Solomon, Courtenay Strong, Paul D. Brooks
Summary: Seasonally snow-covered catchments in the western United States provide water supply to growing populations through annual snowmelt-driven streamflow and multi-year groundwater recharge. The variability in streamflow is largely influenced by precipitation, but the efficiency of runoff varies greatly among catchments. This study finds that the variability in winter baseflow, an indicator of groundwater storage, shows periodicity of 2-5 and 12-15 years, driven by regional precipitation patterns and snowmelt dynamics. These results highlight the need to consider the influence of antecedent climate on groundwater storage when managing water supplies from snow-covered catchments.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Liza G. Kiba, S. Rajkumari, N. Chiphang, A. Bandyopadhyay, A. Bhadra
Summary: This study evaluated and compared snowmelt runoff in the Mago basin in Arunachal Pradesh and the Alaknanda basin in Uttarakhand using SDSRM and MODIS data. The Eastern Himalayan basin had higher mean values of snow parameters and snowmelt contribution than the Western Himalayan basin, with different peak periods.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2021)
Article
Environmental Sciences
Dorothy K. Hall, Donal S. O'Leary, Nicolo E. DiGirolamo, Woodruff Miller, Do Hyuk Kang
Summary: The Great Salt Lake in Utah has been shrinking since the middle of the 19th Century, with decreased area and volume and increased salinity. Satellite data shows that the main reasons for this decline since 2000 are earlier snowmelt, rising temperatures leading to less snowfall, increased evaporation, and decreasing snow depth.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Water Resources
Ryan F. Connon, Laura Chasmer, Emily Haughton, Manuel Helbig, Chris Hopkinson, Oliver Sonnentag, William L. Quinton
Summary: The study in the discontinuous permafrost zone of the Northwest Territories, Canada revealed that snowmelt has a significant impact on moisture supply and stream hydrographs during the short growing season. The expansion of wetlands due to permafrost thaw may lead to faster snowmelt and increased spring freshet runoff.
HYDROLOGICAL PROCESSES
(2021)
Article
Ecology
Stephanie E. Hampton, Sapna Sharma, Matthew R. Brousil, Alessandro Filazzola
Summary: In seasonally ice-covered lakes, winter and summer storms have different effects on the relationships between algae and nutrients. Winter storms disrupt these relationships by changing the under-ice light environment, while summer storms are associated with higher water temperatures and chlorophyll levels.
Article
Environmental Sciences
A. Sensoy, G. Uysal, A. A. Sorman
JOURNAL OF FLOOD RISK MANAGEMENT
(2018)
Article
Engineering, Civil
Goekcen Uysal, Dirk Schwanenberg, Rodolfo Alvarado-Montero, Aynur Sensoy
WATER RESOURCES MANAGEMENT
(2018)
Article
Environmental Sciences
Goekcen Uysal, Rodolfo Alvarado-Montero, Dirk Schwanenberg, Aynur Sensoy
Article
Water Resources
Juraj Parajka, Nejc Bezak, John Burkhart, Bjarki Hauksson, Ladislav Holko, Yeshewa Hundecha, Michal Jenicek, Pavel Krajci, Walter Mangini, Peter Molnar, Philippe Riboust, Jonathan Rizzi, Aynur Sensoy, Guillaume Thirel, Alberto Viglione
JOURNAL OF HYDROLOGY AND HYDROMECHANICS
(2019)
Article
Water Resources
A. Arda Sorman, Gokcen Uysal, Aynur Sensoy
JOURNAL OF HYDROLOGY AND HYDROMECHANICS
(2019)
Article
Water Resources
Gokcen Uysal, Ali Unal Sorman
Summary: This study evaluates and proposes post-bias corrections for uncorrected Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) and pre-bias-corrected PERSIANN-Climate Data Record (PERSIANN-CDR) daily Satellite-based Precipitation Products (SBPs) in mountainous basins. The study shows that applying post-bias corrections using a modified multiplicative linear scaling method can improve runoff estimation accuracy in mountainous regions.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
(2021)
Article
Engineering, Civil
Rodolfo Alvarado-Montero, Gokcen Uysal, Antonio-Juan Collados-Lara, A. Arda Sorman, David Pulido-Velazquez, Aynur Sensoy
Summary: This study compares the application of Ensemble Kalman Filter (EnKF) and Moving Horizon Estimation (MHE) for data assimilation in mountainous basins. The results show that MHE outperforms EnKF in streamflow and snow state predictions.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Gokcen Uysal
Summary: This study assesses the performances of four different resolution Satellite-based Precipitation (SBP) products in mountainous regions and finds that PERSIANN-PDIR-Now has the least mean annual bias, while PERSIANN-CDR has the highest monthly correlation with Gauge-based Precipitation (GBP) data. Additionally, through a rainfall-runoff model based on a multi-layer perceptron (MLP), all SBP models show relatively high efficiency for both training and testing periods.
Article
Meteorology & Atmospheric Sciences
Aynur Uensoy, Gokcen Uysal, A. Arda Sorman
Summary: This study assesses the performance of EUMETSAT's satellite application facility on snow products in a mountainous region in Turkey and validates it using MODIS snow extent data. The results show that satellite data is highly applicable and useful in hydrological applications, highlighting the need for further dissemination.
THEORETICAL AND APPLIED CLIMATOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Gokcen Uysal, Rodolfo Alvarado-Montero, Aynur Sensoy, Ali Arda Sorman
Summary: The operation of upstream reservoirs in mountainous regions fed by snowmelt is challenging due to harsh topographic conditions and a lack of monitoring stations. Snow observations from remote sensing can provide additional and relevant information to improve forecast models and enhance reservoir operation.