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Performance assessment of gridded climatic data and modeling spatial accuracy ranking matrix for gridded precipitation using a new pixel-based approach: a district-wise case study of Punjab by Muhammad Usman Saleem; Mian Sohail Akram is a Earth and Planetary Sciences article available to read on EtoBox.

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In this study, the performance of several daily gridded climatic variables, e.g., maximum and minimum temperatures "Tmax (CPC) and Tmin (CPC)," relative humidity "RH (CDC)," wind speed "WS (CPC)," and precipitation collected from National Oceanic and Atmospheric Administration, Physical Science Laboratory "NOAA (PSL)," was evaluated with ground observed data in 9 different districts of Punjab. It was concluded, after in-depth investigations, that Tmax (CPC), Tmin (CPC), and RH (CDC) follow the same quality and performance as ground observations. The performance of gridded precipitation in different geospatial approaches, e.g., point-to-point and polygon-to-point, was also evaluated. Results revealed that the performance of daily mean gridded precipitation of district "RF (CPC DM)" is most reliable and accurate with gauge-based observation. The accuracy of monthly long-termed mean precipitation RFM (CPC) in the remaining 27 districts of Punjab was predicted by using techniques of statistical and geostatistical interpolations. The model was optimized based on minimum root mean square error (RMSE), and a monthly spatial accuracy ranking matrix was developed using a new pixel-based app

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Author

Muhammad Usman Saleem; Mian Sohail Akram

Publisher

Springer Science and Business Media LLC

Published

2023

Language

EN

Field

Earth and Planetary Sciences (Physical Sciences)