MAPP Webinar Series: Drought Understanding, Monitoring, and Prediction 9 June 2015

MAPP Webinar Series: Drought Understanding, Monitoring, and Prediction

The NOAA CPO Modeling, Analysis, Prediction, and Projections (MAPP) program hosted a webinar on the topic of Drought Understanding, Monitoring, and Prediction on Tuesday, June 9, 2015. The announcement is provided below; you are invited to remotely join the session.

12 February 2015

MAPP Webinar Series: Weather-Climate Linkages: Analysis, Modeling, and Prediction Efforts

The NOAA CPO Modeling, Analysis, Prediction, and Projections (MAPP) program hosted a webinar on the topic of Weather-Climate Linkages: Analysis, Modeling, and Prediction Efforts on Thursday, February 12, 2015. The announcement is provided below; you are invited to remotely join the session.
ESS-supported work receives 2014 UCAR Outstanding Publication Award 20 January 2015

ESS-supported work receives 2014 UCAR Outstanding Publication Award

Research published in the Journal of Climate, "A Decadal Prediction Case Study: Late Twentieth-Century North Atlantic Ocean Heat Content," has received the 2014 UCAR Outstanding Publication Award. This work was supported by the Climate Program Office's Earth Systems Science (ESS) program.
CMIP5 Climate Model Analyses: Climate Extremes in the United States 5 June 2014

CMIP5 Climate Model Analyses: Climate Extremes in the United States

Research partially funded by CPO’s MAPP program has been published in the June issue of the Bulletin of the American Meteorological Society.
A framework for dynamical seasonal prediction of precipitation over the Pacific Islands 5 May 2014

A framework for dynamical seasonal prediction of precipitation over the Pacific Islands

Research funded by CPO’s Modeling, Analysis, Prediction, and Projections (MAPP) program was published in the latest issue of the Journal of Climate.

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Americans’ health, security and economic wellbeing are tied to climate and weather. Every day, we see communities grappling with environmental challenges due to unusual or extreme events related to climate and weather.