Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sunil, Akshay"'
The growing adoption of machine learning (ML) in modelling atmospheric and oceanic processes offers a promising alternative to traditional numerical methods. It is essential to benchmark the performance of both ML and physics-informed ML (PINN) model
Externí odkaz:
http://arxiv.org/abs/2411.19031
Multi-purpose reservoirs support socioeconomic development by providing irrigation, domestic water supply, hydropower, and other services. However, impoundment of water impacts instream aquatic ecosystems. Thus, the concept of minimum environmental f
Externí odkaz:
http://arxiv.org/abs/2404.18535
Forecasting rainfall in tropical areas is challenging due to complex atmospheric behaviour, elevated humidity levels, and the common presence of convective rain events. In the Indian context, the difficulty is further exacerbated because of the monso
Externí odkaz:
http://arxiv.org/abs/2404.01122
In this study, the statistical downscaling model (SDSM) is employed for downscaling the precipitation (PREC), maximum temperature (T max ) and minimum temperature (T min ) over Krishna River Basin (KRB). The Canadian Earth System Model, version 2 (Ca
Externí odkaz:
http://arxiv.org/abs/2310.09311
Publikováno v:
Modeling Earth Systems and Environment; September 2021, Vol. 7 Issue: 3 p1963-1977, 15p
Publikováno v:
International Journal of Big Data Mining for Global Warming; December 2020, Vol. 2 Issue: 2