Stennis Space Center Awarded Contracts - Cloud | Federal Compass

Stennis Space Center Awarded Contracts - Cloud

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NNX14AL26H - IN THIS STUDY, WE PROPOSE TO COLLECT MULTIPLE NASA A-TRAIN SATELLITE DATASETS, SUCH AS CLOUDSAT, CALIPSO, CERES, AIRS, AMSR-E AND MLS, TO BUILD A GLOBAL DATABASE OF VERTICAL DISTRIBUTIONS OF ATMOSPHERIC PARAMETERS AND CLOUD PROPERTIES DURING 2006-2010, AND THEN INPUT THESE RESULTS INTO A 1-D RADIATIVE TRANSFER MODEL TO CALCULATE THE HEATING RATE PROFILES OF THE ATMOSPHERE. BASED UPON THESE OBSERVATIONAL RESULTS, WE WILL EXAMINE THE RELATIONSHIP BETWEEN THE VERTICAL PROFILES OF CLOUD PROPERTIES AND THEIR RADIATIVE EFFECTS ACROSS THE GLOBE. WE WILL ALSO USE THE RESULTS TO EVALUATE THE CMIP5 GCM SIMULATIONS AND PERFORM A DETAILED QUANTITATIVE ERROR ANALYSIS AIMED FOR HELPING MODEL DIAGNOSIS AND IMPROVEMENT. THIS PROPOSED RESEARCH FITS WELL WITHIN ONE OF THE EARTH SCIENCE DIVISION S PRIMARY STRATEGIC OBJECTIVES: EARTH SYSTEM SCIENCE UNDERSTAND HOW THE EARTH IS CHANGING TO BETTER PREDICT CHANGE AND UNDERSTAND THE CONSEQUENCES OF CHANGE FOR LIFE ON EARTH . IT IS ALSO IMPORTANT TO HELP IMPROVE CLIMATE MODELS FOR THE NEXT PHASE OF CMIP6, AND THUS THE IPCC AR6. TO ACHIEVE THESE GOALS, WE PROPOSE THE FOLLOWING TWO OBJECTIVES. OBJECTIVE 1: CALCULATE THE RADIATIVE HEATING RATE PROFILES WITH 1-D RADIATIVE TRANSFER MODEL THERE ARE TWO STEPS TO PERFORM THIS PROPOSED OBJECTIVE: STEP 1: WE WILL COLLECT THE AIRS AND MLS RETRIEVED VERTICAL PROFILES OF ATMOSPHERIC PARAMETERS, SUCH AS AIR TEMPERATURE, RELATIVE HUMIDITY, AND WATER VAPOR MIXING RATIO; AND CLOUDSAT/CALIPSO RETRIEVED PROFILES OF CLOUD LIQUID WATER CONTENT (LWC) AND ICE WATER CONTENT (IWC). STEP 2: INPUT THESE ATMOSPHERIC PARAMETERS AND CLOUD LWC/IWC PROFILES INTO THE FU-LIOU 1-D RADIATIVE TRANSFER MODEL TO CALCULATE THE ATMOSPHERIC HEATING RATE PROFILES (SU ET AL. 2009; DONG 1996) WITH THE CONSTRAINTS OF NASA CERES DERIVED SW AND LW FLUXES AT TOA AND SURFACE. WE WILL PERFORM THE CALCULATIONS FOR SEVERAL TARGETED REGIONS ACROSS THE GLOBE, SUCH AS SOUTH ASIA, THE PACIFIC WARM POOL, CENTRAL AMERICA, AND THE SOUTHERN OCEANS, TO EXAMINE THE RELATIONSHIPS BETWEEN CLOUD PROPERTIES (IWC/LWC, CLOUD FRACTION, CLOUD OPTICAL THICKNESS) AND HEATING RATES. OBJECTIVE 2: EVALUATE THE CMIP5 GCMS SIMULATIONS WITH THE CONSTRUCTED DATABASE IN OBJECTIVE 1 STEP 1: WE WILL QUANTITATIVELY ASSESS THE CMIP5 GCMS ENSEMBLE MEANS AND SEVERAL INDIVIDUAL GCM SIMULATED VERTICAL PROFILES OF ATMOSPHERIC PARAMETERS AND CLOUD PROPERTIES, AND THEIR CORRESPONDING ATMOSPHERIC HEATING RATE PROFILES USING THE RESULTS GENERATED IN OBJECTIVE 1. STEP 2: ERROR ANALYSIS WHERE ARE THE ERRORS COMING FROM? IN THIS STEP, WE WILL USE AN ANALYSIS METHOD SIMILAR TO DOLINAR ET AL. (2013) AND SU ET AL. (2013) TO PROVIDE A QUANTIFICATION OF ERRORS FROM THE CLOUD LWC/IWC SENSITIVITIES TO CLOUD TEMPERATURE, RH, AND LARGE-SCALE ENVIRONMENTS SUCH AS SST, CIRCULATION PATTERN, PRECIPITATION, AND LOWER TROPOSPHERIC STABILITY. WE WILL ALSO EXAMINE THE HEATING RATE SENSITIVITIES TO CLOUD PROPERTIES BETWEEN SIMULATIONS AND OBSERVATIONS. SUCH DIAGNOSES ARE USEFUL FOR IDENTIFYING THE DOMINANT SOURCES OF MODEL ERRORS AND REGIONS MOST IN NEED FOR MODEL IMPROVEMENTS.
Training Grant
Contractor
UNIVERSITY OF NORTH DAKOTA
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
07/08/2014
Obligated Amount
$90k
NNX13CS05P - WE PROPOSE A NEXT-GENERATION CLOUD-BASED SOCIAL MEDIA VISUAL ANALYTICS DISASTER RESPONSE SYSTEM THAT WILL ENABLE DECISION-MAKERS AND FIRST-RESPONDERS TO OBTAIN REAL-TIME ANALYTICS (BOTH DESCRIPTIVE AND PREDICTIVE) FOR SITUATIONAL AWARENESS AND EARLY-WARNING. SOCIAL MEDIA SITES LIKE TWITTER AND FACEBOOK PROVIDE RAPID "SENSORY" FEEDBACK FROM "HUMAN SENSORS" THE MILLIONS OF PEOPLE ON THE GROUND INCLUDING THOSE AFFECTED BY THE DISASTER AS WELL AS HUNDREDS OF FIRST-RESPONDERS AND RELIEF ORGANIZATIONS. THE PROBLEM IS THAT THIS SOCIAL MEDIA DATA CAN BE OVERWHELMING AND NOISY (LOTS OF IRRELEVANT STUFF). OUR PROPOSED INNOVATION IS TO COMBINE AND ANALYZE THIS SOCIAL MEDIA UNSTRUCTURED "BIG-DATA", TOGETHER WITH OTHER STRUCTURED DATA FROM A VARIETY OF SOURCES INCLUDING NASA. THE EMPHASIS IS ON VISUAL ANALYTICS WHICH WILL ALLOW ALL THESE DIVERSE GEOSPATIAL DATA TO BE INTEGRATED AND ANALYZED ON A REAL-TIME BASIS IN AN INTUITIVE MANNER. WE UTILIZE GEOBROWSERS SUCH AS COAST, GOOGLE EARTH, AND OPENSTREETMAP FOR DISPLAY OF THE OUTPUT OF THE VISUAL ANALYTICS PREDICTION SYSTEM. THIS IS AN INTERACTIVE SYSTEM WHICH ENABLES THE RELEVANT USERS AND DECISION-MAKERS TO PROVIDE INPUT TO THE ANALYTICS PROCESS AS THE SOLUTION EVOLVES.
Definitive Contract - 541712 Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)
Contractor
VCRSOFT LLC
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
05/21/2013
Obligated Amount
$125k
NNS06AA05G - NASA VOLCANIC CLOUD DATA FOR AVAITION HAZARDS
Grant for Research
Contractor
University of Maryland (UNIVERSITY OF MARYLAND BALTIMORE COUNTY)
Contracting Agency/Office
National Aeronautics and Space Administration»Stennis Space Center
Effective date
03/20/2006
Obligated Amount
$1.2M

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