[HTML][HTML] Evaluation of GPM IMERG early, late, and final Run in representing extreme rainfall indices in Southwestern Iran

MS Keikhosravi-Kiany, RC Balling Jr - Remote Sensing, 2024 - mdpi.com
The growing concerns about floods have highlighted the need for accurate and detailed
precipitation data as extreme precipitation occurrences can lead to catastrophic floods …

A novel intelligent approach for predicting meteorological drought based on satellite-based precipitation product: Application of an EMD-DFA-DBN hybrid model

A Ghozat, A Sharafati, SBHS Asadollah… - … and Electronics in …, 2023 - Elsevier
This study uses the long-term Climate Hazards Group InfraRed Precipitation with Station
(CHIRPS) dataset with 0.05° spatial resolution to calculate the Standardized Precipitation …

Spatial risk occurrence of extreme precipitation in China under historical and future scenarios

H Jin, R Zhong, M Liu, C Ye, X Chen - Natural Hazards, 2023 - Springer
In recent years, extreme precipitation events have shown a significant increasing trend in
both intensity and amount. Therefore, it is urgent to delineate the areas vulnerable to …

Predicting Gross Primary Productivity of the Forest Ecosystems using Machine Learning Techniques: A Review of Existing Approaches

G Agarwal, PKD Burman, PK Kosamkar… - … Series: Earth and …, 2024 - iopscience.iop.org
Photosynthesis is a biotic process in which the plants assimilate the atmospheric CO 2 into
the sugar molecules in the presence of solar energy. The carbon uptake by plants in this …

[HTML][HTML] Comparative Trend Analysis of Precipitation Indices in Several Towns of the Sirba River Catchment (Burkina Faso) from CHIRPS and TAMSAT Rainfall …

G Cannella, A Pezzoli, M Tiepolo - Climate, 2024 - mdpi.com
The increasingly frequent pluvial flood of West African urban settlements indicates the need
to investigate the drivers of local rainfall changes. However, meteorological stations are few …

Validating IMERG data for diurnal rainfall analysis across the Indonesian maritime continent using gauge observations

R Ramadhan, M Marzuki, W Suryanto… - Remote Sensing …, 2024 - Elsevier
The availability of surface rainfall data with high spatial-temporal resolution is needed to
understand the diurnal rainfall characteristics in the Indonesian Maritime Continent (IMC) to …

Utility of satellite precipitation products for drought monitoring (case study: southwestern regions in Iran)

MS Keikhosravi-Kiany, RC Balling - Natural Hazards, 2024 - Springer
Satellite precipitation products (SPPs) with high spatial and temporal resolution are
considered as a new source of precipitation data to monitor drought events, particularly for …

Performance of CHIRPS for estimating precipitation extremes in the Wala Basin, Jordan

S Al-Shamayleh, ML Tan, N Samat… - Journal of Water and …, 2024 - iwaponline.com
The evaluation of open-source precipitation data is crucial to enable the selection of the
most appropriate product for a specific research. This study aims to evaluate the capability of …

Assessment of Satellite-based Precipitation Products in Monthly, Seasonal, and Annual Time-Scale over Iran

N Nozarpour, E Mahjoobi, S Golian - International Journal of …, 2024 - Springer
Understanding the spatial and temporal distribution of precipitation globally is advantageous
for advancing climate knowledge and improving weather and climate forecasting models …

Assessment of mean precipitation and precipitation extremes in Iran as simulated by dynamically downscaled RegCM4

A Zarrin, A Dadashi-Roudbari - Dynamics of Atmospheres and Oceans, 2024 - Elsevier
This paper aims to assess the mean precipitation and precipitation extremes over Iran as
simulated by the Regional Climate Model (RegCM4). A simulation spanning 20 years (1991 …