High-frequency precipitation (solid/liquid) isotope datasets are useful for identification of moisture sources and various dynamical and thermodynamical processes controlling precipitation formation. Here, we report three-year (2019-2021) daily rain isotope (both oxygen, δO hereafter, and hydrogen, δH, hereafter) datasets from three unique locations in India during the Indian Summer Monsoon (ISM). The locations are- (1) Port Blair- an island situated in the Bay of Bengal (BoB); (2) Mahabaleshwar, located at the crest of the Western Ghats Mountain; and (3) Tezpur, in northeast India, situated close to a dense forest. These stations receive moisture from different sources and experience different rain mechanisms during ISM. Therefore, the isotope datasets presented here would be useful for envisaging the impact of diverse rain formation processes on isotope values during the ISM.
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http://dx.doi.org/10.1038/s41597-024-04308-7 | DOI Listing |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11682116 | PMC |
Sci Data
December 2024
Centre for Climate Change Research, Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, India.
High-frequency precipitation (solid/liquid) isotope datasets are useful for identification of moisture sources and various dynamical and thermodynamical processes controlling precipitation formation. Here, we report three-year (2019-2021) daily rain isotope (both oxygen, δO hereafter, and hydrogen, δH, hereafter) datasets from three unique locations in India during the Indian Summer Monsoon (ISM). The locations are- (1) Port Blair- an island situated in the Bay of Bengal (BoB); (2) Mahabaleshwar, located at the crest of the Western Ghats Mountain; and (3) Tezpur, in northeast India, situated close to a dense forest.
View Article and Find Full Text PDFWater Sci Technol
December 2024
University of Kassel, Chair of Urban Water Engineering, Kurt-Wolters-Street 3, Kassel 34125, Germany E-mail:
This study extends a previously developed competitive modeling approach for predicting the adsorption of organic micropollutants (OMPs) on powdered activated carbon (PAC) in full-scale advanced wastewater treatment. The approach incorporates adsorption analysis for organic matter fractionation, assumes pseudo-first order kinetics and differentiates between fresh and partially loaded PAC through fraction segregation. Validation through full-scale measurement campaigns reveals successful model predictions of OMP removal, underestimating, however, diclofenac removals by 15-20%.
View Article and Find Full Text PDFNature
December 2024
Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
Environ Monit Assess
December 2024
Department of Geography, Kurukshetra University, Kurukshetra, 136119, India.
A sound understanding of daily precipitation concentration provides critical insights about extreme precipitation and associated hazards such as rainstorms, flash floods, cloud bursts, and soil erosion. Therefore, this study examines the spatiotemporal variability and geoclimatic drivers of daily precipitation concentration using the concentration index (CI), precipitation concentration degree (PCD), Q Index (QI), and Theil index (TI) over a Western Himalayan Province, namely Himachal Pradesh, India. For this, the daily precipitation data pertaining to 111 grids (0.
View Article and Find Full Text PDFClim Dyn
October 2024
U.S. National Science Foundation National Center for Atmospheric Research, 1850 Table Mesa Dr., Boulder, CO 80305 USA.
Climate science has long explored whether higher resolution regional climate models (RCMs) provide improved simulation of regional climates over global climate models (GCMs). The advent of convective-permitting RCMs (CPRCMs), where sufficiently fine-scale grids allow explicitly resolving rather than parametrising convection, has created a clear distinction between RCM and GCM formulations. This study investigates the simulation of tropical-extratropical (TE) cloud bands in a suite of pan-South America convective-permitting Met Office Unified Model (UM) and Weather Research and Forecasting (WRF) climate simulations.
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