Sentences with phrase «land data assimilation»

«Validation of Noah - simulated soil temperature in the North American Land Data Assimilation System Phase 2.»

The datasets considered include a blended in situ - satellite dataset extending from 1923 to 2012 (Brown), the National Oceanic and Atmospheric Administration (NOAA) snow chart Climate Data Record for 1968 — 2012, the Global Land Data Assimilation System version 2.0 (GLDAS - 2 Noah) reanalysis for 1951 — 2010, and the NOAA 20th - century reanalysis, version 2 (20CR2) covering 1948 — 2012.

Figure: Early (JJ) and late (AS) summer temperature (K) and precipitation (%) climatology difference -LRB-[1981 - 2010] minus [1950 - 1980]-RRB- from observed North American Land Data Assimilation System (top panel) and Climate Projection Center (bottom panel).

Researchers used data from the North American Land Data Assimilation System (NLDAS) and physiological data in the study.

Not exact matches

Marine planktonic ecosystem dynamics, biogeochemical cycling and ocean - atmosphere - land carbon system, ocean acidification, climate change and ocean circulation, satellite ocean color, air - sea gas exchange, numerical modeling, data analysis, and data assimilation

The plot moves deftly between preparations for the Earth launch, Data's assimilation tortures on the Borg ship, and a fight against a Borg landing party on the Enterprise, which Picard personally directs, overruling doubts expressed by his second - in - command, William Riker (Jonathan Frakes) and their own assimilated Klingon, Worf (Michael Dorn).

Apart from efforts in generating reliable data products (for example, data assimilation), models need to be refined to incorporate key processes of drought such as land - atmosphere interaction, temperature, soil moisture, and human activities.

CAS = Commission for Atmospheric Sciences CMDP = Climate Metrics and Diagnostic Panel CMIP = Coupled Model Intercomparison Project DAOS = Working Group on Data Assimilation and Observing Systems GASS = Global Atmospheric System Studies panel GEWEX = Global Energy and Water Cycle Experiment GLASS = Global Land - Atmosphere System Studies panel GOV = Global Ocean Data Assimilation Experiment (GODAE) Ocean View JWGFVR = Joint Working Group on Forecast Verification Research MJO - TF = Madden - Julian Oscillation Task Force PDEF = Working Group on Predictability, Dynamics and Ensemble Forecasting PPP = Polar Prediction Project QPF = Quantitative precipitation forecast S2S = Subseasonal to Seasonal Prediction Project SPARC = Stratospheric Processes and their Role in Climate TC = Tropical cyclone WCRP = World Climate Research Programme WCRP Grand Science Challenges • Climate Extremes • Clouds, Circulation and Climate Sensitivity • Melting Ice and Global Consequences • Regional Sea - Ice Change and Coastal Impacts • Water Availability WCRP JSC = Joint Scientific Committee WGCM = Working Group on Coupled Modelling WGSIP = Working Group on Subseasonal to Interdecadal Prediction WWRP = World Weather Research Programme YOPP = Year of Polar Prediction

There is an open question as to whether to concentrate on atmospheric data assimilation or to include ocean and land surface as well.

However the model structure, assumptions, and data assimilation methods, whatever their uncertainties and differences, are better than extrapolation or kriging over long distances or across land / sea / ice boundaries.

Our prediction is based on the GFDL - FLOR ensemble forecast system, which is a fully - coupled atmosphere - land - ocean - sea ice model initialized using a coupled data assimilation system.

The global Human — Earth System framework we propose, and represent schematically in Fig. 6, combines not only data collection, analysis techniques, and Dynamic Modeling, but also Data Assimilation, to bidirectionally couple an ESM containing subsystems for Global Atmosphere, Land (including both Land — Vegetation and Land - Use models) and Ocean and Ice, to a Human System Model with subsystems for Population Demographics, Water, Energy, Agriculture, Industry, Construction, and Transportatdata collection, analysis techniques, and Dynamic Modeling, but also Data Assimilation, to bidirectionally couple an ESM containing subsystems for Global Atmosphere, Land (including both Land — Vegetation and Land - Use models) and Ocean and Ice, to a Human System Model with subsystems for Population Demographics, Water, Energy, Agriculture, Industry, Construction, and TransportatData Assimilation, to bidirectionally couple an ESM containing subsystems for Global Atmosphere, Land (including both Land — Vegetation and Land - Use models) and Ocean and Ice, to a Human System Model with subsystems for Population Demographics, Water, Energy, Agriculture, Industry, Construction, and Transportation.