A Comprehensive Analysis of Pixel-level Rainfall Datasets for the Indian Region: Identification of Optimal Rainfall Datasets | Chapter 2 | Emerging Issues in Environment, Geography and Earth Science Vol. 2

 The objective concerning this study is to label the rainfall datasets for India that deliver highest in rank results at the pixel level. Rain is moisture that have condensed from atmospheric water fumes and then fall under importance. Rainfall is a dynamic process and is uniformly changing in form and force as it passes over a likely area.  The Indian Meteorological Department's (IMD) gridded dossier are utilized in this work to attempt skill versification analysis on seven commonly secondhand rainfall datasets, containing GPM, CRU, CHIRPS, GLDAS, PERSIANN-CDR, SM2RAIN, and TerraClimate. The rule-based resolution tree techniques are working on the obtained ability metrics reasoning values to find the good-performing precipitation dataset at each pixel advantage among all the datasets used. The momentary analysis (in two together month- and period-wise scales) suggests that GPM is a good-operating dataset. This analysis recognized the good-performing datasets in 3428-pel locations out of 4641-pel locations in India. The pel-wise analysis tells that GPM correlated well accompanying the IMD dataset in 3105 pixels out of 4641 pixels, inasmuch as TerraClimate correlated well only 1579 pixels. Among the seven chosen datasets, this reasoning found highest in rank dataset for each pel. PERSIANN-CDR, followed by CHIRPS, and finally the GPM dataset, frequently scores as a good-performing fit. The TerraClimate dataset is the slightest valuable at the pixel level despite bearing a better resolution. For hydrologic and land applications that support tenable development, this research will help in the selection of high-quality dataset at a pixel of India.

Author(s) Details:

Vasala Saicharan,
Department of Water Resources and Ocean Engineering, National Institute of Technology Karnataka, Surathkal 575025, India.

Shwetha Hassan Rangaswamy,
Department of Water Resources and Ocean Engineering, National Institute of Technology Karnataka, Surathkal 575025, India.

Please see the link here: https://stm.bookpi.org/EIEGES-V2/article/view/12189