Inter-comparison and assessment of gridded climate products over tropical forests during the 2015/2016 El Niño. [PDF]
Philos Trans R Soc Lond B Biol Sci, 2018 Burton C, Rifai S, Malhi Y.
europepmc +1 more source
Transboundary hydropolitical conflicts and their impact on river morphology and environmental degradation in the Hirmand Basin, West Asia. [PDF]
Sci RepArfa A +3 more
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Evaluation of GSMaP and MSWEP precipitation products for runoff simulation in the Lhasa River Basin. [PDF]
PLoS OneWu L +7 more
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Psychometric Validation of the Persian Version of the Experiential Avoidance Rating Scale (EARS) and Its Application in Assessing Psychological Inflexibility in Persian-Speaking Populations. [PDF]
BMC PsycholImany M +3 more
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Short‐Term Precipitation Forecast Based on the PERSIANN System and LSTM Recurrent Neural Networks [PDF]
Journal of Geophysical Research D: Atmospheres, 2018 AbstractShort‐term Quantitative Precipitation Forecasting is important for flood forecasting, early flood warning, and natural hazard management. This study proposes a precipitation forecast model by extrapolating Cloud‐Top Brightness Temperature (CTBT) using advanced Deep Neural Networks, and applying the forecasted CTBT into an effective rainfall ...
Ata Akbari Asanjan +2 more
exaly +7 more sources
Assessment of PERSIANN-CCS, PERSIANN-CDR, SM2RAIN-ASCAT, and CHIRPS-2.0 Rainfall Products over a Semi-Arid Subtropical Climatic Region [PDF]
Water (Switzerland), 2022 This study compares the performance of four satellite-based rainfall products (SRPs) (PERSIANN-CCS, PERSIANN-CDR, SM2RAIN-ASCAT, and CHIRPS-2.0) in a semi-arid subtropical region. As a case study, Punjab Province of Pakistan was considered for this assessment.
Muhammad Naveed Anjum +2 more
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Improving PERSIANN-CCS Using Passive Microwave Rainfall Estimation
2020Re-calibrated PERSIANN-CCS is one of the algorithms used in “Integrated Multi-satellitE Retrievals for GPM” (IMERG) to provide high-resolution precipitation estimations from the NASA Global Precipitation Measurement (GPM) program and retrospective data generation for the period covered by the Tropical Rainfall Measurement Mission (TRMM).
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