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Huang B.,National Oceanic and Atmospheric Administration | Huang B.,National Climate Data Center | Xue Y.,National Oceanic and Atmospheric Administration | Kumar A.,National Oceanic and Atmospheric Administration | Behringer D.W.,National Oceanic and Atmospheric Administration
Climate Dynamics | Year: 2012

Variations in the Atlantic meridional overturning circulation (AMOC) between 1979 and 2008 are documented using the operational ocean analysis, the Global Ocean Data Assimilation System (GODAS), at the National Centers for Climate Prediction (NCEP). The maximum AMOC at 40°N is about 16 Sv in average with peak-to-peak variability of 3-4 Sv. The AMOC variations are dominated by an upward trend from 1980 to 1995, and a downward trend from 1995 to 2008. The maximum AMOC at 26.5°N is slightly weaker than hydrographic estimates and observations from mooring array. The dominant variability of the AMOC in 20°-65°N (the first EOF, 51% variance) is highly correlated with that in the subsurface temperature (the first EOF, 33% variance), and therefore, with density (the first EOF, 25% variance) in the North Atlantic, and is consistent with the observational estimates based on the World Ocean Database 2005. The dominant variabilities of AMOC and subsurface temperature are also analyzed in the context of possible links with the net surface heat flux, deep convection, western boundary current, and subpolar gyre. Variation in the net surface heat flux is further linked to the North Atlantic Oscillation (NAO) index which is found to lead AMOC variations by about 5 years. Our results indicate that AMOC variations can be documented based on an ocean analysis system such as GODAS. © 2011 Springer-Verlag.

Stackhouse Jr. P.W.,NASA | Cox S.J.,Enterprise Systems | Chandler W.S.,Enterprise Systems | Hoell J.M.,Enterprise Systems | And 9 more authors.
40th ASES National Solar Conference 2011, SOLAR 2011 | Year: 2011

This paper presents an overview of an ongoing project to develop and deliver a solar mapping processing system to the National Renewable Energy Laboratory (NREL) using the data sets that are planned for production at the National Climatic Data Center (NCDC). NCDC will be producing a long-term radiance and cloud property data set covering the globe every three hours at an approximate resolution of 10 x 10 km. NASA, the originators of the Surface meteorology and Solar Energy web portal are collaborating with SUNYAlbany to develop the production system and solar algorithms. The initial result will be a global long-term solar resource data set spanning over 25 years. The ultimate goal of the project is to also deliver this data set and production system to NREL for continual production. The project will also assess the impact of providing these new data to several NREL solar decision support tools. Copyright © (2011) by the American Solar Energy Society.

Cox S.J.,Science Systems And Applications Inc. | Mikovitz J.C.,Science Systems And Applications Inc. | Zhang T.,Science Systems And Applications Inc. | Sorlie S.E.,Science Systems And Applications Inc. | And 9 more authors.
42nd ASES National Solar Conference 2013, SOLAR 2013, Including 42nd ASES Annual Conference and 38th National Passive Solar Conference | Year: 2013

This paper describes an ongoing project to provide the National Renewable Energy Laboratory (NREL) with a global long-term advanced global solar mapping production system for improved depiction of historical solar resources and to provide a mechanism for continual updates. This new production system is made possible by the efforts of NASA and NOAA to completely reprocess the International Satellite Cloud Climatology Project (ISCCP) data set that provides satellite visible and infrared radiances together with retrieved cloud and surface properties on a 10 km, 3-hourly basis beginning July 1983. We provide a general overview of this project, samples of the new solar irradiance mapped data products, and comparisons to surface measurements. Samples of the use of the SUNY-Albany solar irradiance algorithm applied to the ISCCP data show very good agreement with high quality surface measurements. We identify the next steps in the production of the data set. Copyright © (2013) by American Solar Energy Society.

Zolina O.,French National Center for Scientific Research | Zolina O.,RAS Shirshov Institute of Oceanology | Simmer C.,University of Bonn | Kapala A.,University of Bonn | And 5 more authors.
Bulletin of the American Meteorological Society | Year: 2014

High-quality quantitative information about precipitation characteristics in Europe, including extremes, is crucial for estimating and modeling observed climate variability and trends in European hydroclimate and floods. The recent flood in early June 2013 over Southern and Southeastern Germany exceeded the water levels of the already record-breaking flood of August 2002. This event was followed by very localized and extremely heavy precipitation events in the latter half of June in Western Germany. Multiannual gridded products based on these sparse network rain gauge collections, although extremely valuable for the assessments of long-term continental-scale changes in precipitation and their further intercomparison with climate model simulations, are hardly useful for the evaluation of experiments with regional high-resolution models targeting case studies of extreme events.

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