Hydroclimatic Extremes Evaluation Using GRACE/GRACE-FO and Multidecadal Climatic Variables over the Nile River Basin

نویسندگان

چکیده

Hydroclimatic extremes such as droughts and floods triggered by human-induced climate change are causing severe damage in the Nile River Basin (NRB). These hydroclimatic not well studied a holistic approach NRB. In this study, Gravity Recovery Climate Experiment (GRACE) mission its Follow on (GRACE-FO) derived indices other standardized computed for developing monitoring evaluation methods of flood drought. We evaluated extreme conditions using GRACE/GRACE-FO water storage deficits Index (WSDI); (i.e., Palmer Drought Severity (PDSI) others). This study showed that during 1950–2019, eight major ten events were identified based standardized-indices GRACE/GRACE-FO-derived indices. Standardized-indices mostly underestimated drought severity level compared to Among PDSI show highest correlation (r2 = 0.72) with WSDI. GRACE-/GRACE-FO-derived can capture all events; hence, it may be an ideal substitute data-scarce hydro-meteorological sites. Therefore, proposed framework serve useful tool better understanding NRB similar climatic regions.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Association of oceanic-atmospheric oscillations and hydroclimatic variables in the Colorado River Basin

Association of Oceanic-Atmospheric Oscillations and Hydroclimatic Variables in the Colorado River Basin by Ajay Kalra Dr. Sajjad Ahmad, Examination Committee Chair Associate Professor, Civil and Environmental Engineering University of Nevada, Las Vegas With increasing evidence of climatic variability, there is a need to improve forecast for hydroclimatic variables i.e., precipitation and stream...

متن کامل

Regional analysis of trend and step changes observed in hydroclimatic variables around the Colorado River Basin

Recent research has suggested that changes in temperature and precipitation events due to climate change have had a significant impact on the availability and timing of streamflow. In this study, monthly temperature and precipitation data collected over 29 climate divisions covering the entire Colorado River basin and monthly natural flow data from 29 U.S. Geological Survey (USGS) gauge locatio...

متن کامل

Multidecadal Trend of Basin-Scale Evapotranspiration Estimated Using AVHRR Data in the Krishna River Basin, India

Evapotranspiration (ET) is one of the most critical components of terrestrial water balance. Estimating reliable ET across a large region is, however, difficult due to the limited number of ground monitoring stations and the heterogeneous land surface conditions. In this work, spatially distributed monthly ET estimates in the Krishna River Basin, India, were derived using Advanced Very High Res...

متن کامل

Multidecadal Evaluation of WRF Downscaling Capabilities over Western Australia in Simulating Rainfall and Temperature Extremes

The authors evaluate a 30-yr (1981–2010) Weather Research and Forecast (WRF) Model regional climate simulation over the southwest of Western Australia (SWWA), a region with a Mediterranean climate, using ERA-Interim boundary conditions. The analysis assesses the spatial and temporal characteristics of climate extremes, using a selection of climate indices, with an emphasis on metrics that are r...

متن کامل

Detecting hydroclimatic change using spatio-temporal analysis of time series in Colorado River Basin

0022-1694/$ see front matter 2009 Elsevier B.V. A doi:10.1016/j.jhydrol.2009.03.039 * Corresponding author. Fax: +814 863 7304. E-mail address: [email protected] (C.J. Duffy). It is generally accepted that the seasonal cycle of precipitation and temperature in cordillera of the western US exhibits a north–south pattern for annual, interannual and decadal time scales related to largescale climate pa...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Remote Sensing

سال: 2021

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs13040651