A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate …

D Tian, X He, P Srivastava, L Kalin - Stochastic Environmental Research …, 2021 - Springer
In this study, we developed and evaluated a hybrid framework for reservoir inflow forecast.
This framework is unprecedented, which integrates new quasi-globally available …

ENSO-induced groundwater changes in India derived from GRACE and GLDAS

NK Vissa, PC Anandh, MM Behera, S Mishra - Journal of earth system …, 2019 - Springer
This study aims to quantify the interannual variations of groundwater storage changes
(GWSCs) over India. GWSCs are derived from the gravity recovery and climate experiment …

Impacts of climate change and variability on water resources in the Southeast USA

G Sun, S Arumugam, PV Caldwell, PA Conrads… - Climate of the Southeast …, 2013 - Springer
The Southeast (SE) and Caribbean encompasses of a large geographic region including 11
states, and Puerto Rico and US Virgin Island. The region is known for warm climate …

Decomposition of sources of errors in seasonal streamflow forecasting over the US Sunbelt

A Mazrooei, T Sinha… - Journal of …, 2015 - Wiley Online Library
Seasonal streamflow forecasts, contingent on climate information, can be utilized to ensure
water supply for multiple uses including municipal demands, hydroelectric power …

Reducing hydrologic model uncertainty in monthly streamflow predictions using multimodel combination

W Li, A Sankarasubramanian - Water Resources Research, 2012 - Wiley Online Library
Model errors are inevitable in any prediction exercise. One approach that is currently
gaining attention in reducing model errors is by combining multiple models to develop …

A robust multimodel framework for ensemble seasonal hydroclimatic forecasts

PA Mendoza, B Rajagopalan, MP Clark… - Water Resources …, 2014 - Wiley Online Library
We provide a framework for careful analysis of the different methodological choices we
make when constructing multimodel ensemble seasonal forecasts of hydroclimatic …

Improved regional water management utilizing climate forecasts: An interbasin transfer model with a risk management framework

W Li, A Sankarasubramanian… - Water Resources …, 2014 - Wiley Online Library
Regional water supply systems undergo surplus and deficit conditions due to differences in
inflow characteristics as well as due to their seasonal demand patterns. This study proposes …

The role of temperature variability on seasonal electricity demand in the Southern US

D Cawthorne, AR de Queiroz, H Eshraghi… - … in Sustainable Cities, 2021 - frontiersin.org
The reliable and affordable supply of energy through interconnected systems represent a
critical infrastructure challenge. Seasonal and interannual variability in climate variables …

Identification of dominant source of errors in developing streamflow and groundwater projections under near‐term climate change

SB Seo, T Sinha, G Mahinthakumar… - Journal of …, 2016 - Wiley Online Library
Uncertainties in projecting the changes in hydroclimatic variables (ie, temperature and
precipitation) under climate change partly arises from the inability of global circulation …

[HTML][HTML] Reducing model structural uncertainty in climate model projections—a rank-based model combination approach

RD Bhowmik, A Sharma… - Journal of …, 2017 - journals.ametsoc.org
Reducing Model Structural Uncertainty in Climate Model Projections—A Rank-Based Model
Combination Approach in: Journal of Climate Volume 30 Issue 24 (2017) Jump to Content …