Works (4)

Updated: July 5th, 2023 15:52

2010 journal article

Improving the prediction of winter precipitation and temperature over the continental United States: Role of the ENSO state in developing multimodel combinations

Monthly Weather Review, 138(6), 2447–2468.

By: N. Devineni* & A. Sankarasubramanian

Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2009 journal article

Improved drought management of Falls Lake Reservoir: Role of multimodel streamflow forecasts in setting up restrictions

Journal of Water Resources Planning and Management, 135(3), 188–197.

By: K. Golembesky n, A. Sankarasubramanian n & N. Devineni n

UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2009 journal article

The Role of Monthly Updated Climate Forecasts in Improving Intraseasonal Water Allocation

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 48(7), 1464–1482.

By: A. Sankarasubramanian n, U. Lall*, N. Devineni n & S. Espinueva*

UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2008 journal article

Multimodel ensembles of streamflow forecasts: Role of predictor state in developing optimal combinations

Water Resources Research, 44(9).

By: N. Devineni n, A. Sankarasubramanian n & S. Ghosh n

Contributors: N. Devineni n, A. Sankarasubramanian n & S. Ghosh n

TL;DR: Contingency analyses on categorical forecasts show that the proposed multimodel combination technique reduces average Brier score and total number of false alarms, resulting in improved reliability of forecasts, and adding climatological ensembles improves the multimodels performance resulting in reduced average RPS. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: August 6, 2018

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