Superensemble Statistical Forecasting of Monthly Precipitation over the Contiguous United States, with Improvements from Ocean-Area Precipitation Predictors

Smith, Thomas M.; Shen, Samuel S. P.; Ferraro, Ralph R.

doi:10.1175/jhm-d-16-0018.1

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Superensemble Statistical Forecasting of Monthly Precipitation over the Contiguous United States, with Improvements from Ocean-Area Precipitation Predictors

2016
By Smith, Thomas M. ; Shen, Samuel S. P. ; Ferraro, Ralph R.
Source: Journal of Hydrometeorology, 17(10), 2699-2711

[PDF-1.62 MB]

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Details:

Journal Title:

Journal of Hydrometeorology
Personal Author:

Smith, Thomas M. ; Shen, Samuel S. P. ; Ferraro, Ralph R.

Smith, Thomas M. ; Shen, Samuel S. P. ; Ferraro, Ralph R. Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CICSM (Cooperative Institute for Climate and Satellites Maryland)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CICSM (Cooperative Institute for Climate and Satellites Maryland) Less -
Description:

Extended precipitation forecasts, with leads of weeks to seasons, are valuable for planning water use and are produced by the U.S. National Weather Service. Forecast skill tends to be low and any skill improvement could be valuable. Here, methods are discussed for improving statistical precipitation forecasting over the contiguous United States. Monthly precipitation is forecast using predictors from the previous month.
Keywords:

[+]

Climate Prediction Ensembles Forecasting Techniques Forecast Verification/Skill Short-range Prediction Statistical Forecasting
Source:

Journal of Hydrometeorology, 17(10), 2699-2711
DOI:

https://doi.org/10.1175/jhm-d-16-0018.1
Document Type:

Journal Article
Funding:

Grant no. NA14NES4320003
Rights Information:

Other
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:b7973ea797448245a3d27c7a76b603b180eab73fa5a4fdf37327e0d4a1a57e9e
Download URL:

https://repository.library.noaa.gov/view/noaa/41100/noaa_41100_DS1.pdf
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