Application of Climatic Data in Hydrologic Models

• Muut tekijät: Valipour, Mohammad (Toimittaja), Bateni, Sayed M. (Toimittaja)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: Basel 2022
• Aiheet: Technology: general issues; History of engineering & technology; statistical weather generator; stochastic process; Diyala River basin; Wilks' technique; hydrological models; rainfall; surface runoff; linear regression models; curve number; SCS.CN model; mulching; wildfire; prescribed fire; n/a; CHIRPS; GPM-IMERG; rainfall data scarcity; agro-hydrology; Rift Valley Lake Basin; hydrological research basin; precipitation; temperature; long-term trends; climate change; evapotranspiration; groundwater recharge; thresholds; seasonality; spatiotemporal variations; regional-scale; long-term; HydroBudget model; cold and humid climates; Quebec (Canada); tank cascade system; dry zone; water governance; flood control; traditional knowledge; community participation; Sri Lanka
• Linkit: DOAB: download the publication; DOAB: description of the publication

Over the past few decades, global warming and climate change have impacted the hydrologic cycle. Many models have been developed to simulate hydrologic processes. Obtaining accurate climatic data on local/meso, and global scales is essential for the realistic simulation of hydrologic processes. Howe...