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  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK and Malden, USA : Blackwell Publishing Ltd
    Growth and change 35 (2004), S. 0 
    ISSN: 1468-2257
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geography , Economics
    Notes:   Population, employment, and income changes in a region comprised of eighteen nonmetropolitan counties of Maine, New Hampshire, Vermont, and New York are described using Bureau of Economic Analysis data covering 1970 to 2000. Changes at the county level are examined as net differences using pooled cross-section time series analysis. The specific focus of the empirical analysis is the effect that environmental amenities have in population and economic change. Empirical results indicate that a county's relative endowment of environmental amenities has positive economic change effects, but only when the county is relatively accessible as well. Further, the environmental amenity effects vary in their temporal consistency, even when accessibility is taken into account. In general, however, the reported results support the proposition that even relatively moderate environmental amenities can hold positive effects for economic change.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2004-02-01
    Print ISSN: 0017-4815
    Electronic ISSN: 1468-2257
    Topics: Geography , Economics
    Published by Wiley
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  • 3
    Publication Date: 2019-07-20
    Description: No abstract available
    Keywords: Earth Resources and Remote Sensing
    Type: MSFC-E-DAA-TN64469 , Conference on Hydrology; Jan 06, 2019 - Jan 10, 2019; Phoenix, AZ; United States
    Format: application/pdf
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  • 4
    Publication Date: 2019-07-13
    Description: No abstract available
    Keywords: Earth Resources and Remote Sensing; Meteorology and Climatology
    Type: MSFC-E-DAA-TN19973 , Annual American Meteorological Society Conference; Jan 03, 2015 - Jan 08, 2015; Phoenix, AZ; United States|Conference on Hydrology; Jan 03, 2015 - Jan 08, 2015; Phoenix, AZ; United States
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  • 5
    Publication Date: 2019-07-13
    Description: The NASA Short-term Prediction Research and Transition (SPoRT) Center in Huntsville, AL (Jedlovec 2013; Ralph et al. 2013; Merceret et al. 2013) is running a real-time configuration of the Noah land surface model (LSM) within the NASA Land Information System (LIS) framework (hereafter referred to as the "SPoRT-LIS"). Output from the real-time SPoRT-LIS is used for (1) initializing land surface variables for local modeling applications, and (2) displaying in decision support systems for situational awareness and drought monitoring at select NOAA/National Weather Service (NWS) partner offices. The SPoRT-LIS is currently run over a domain covering the southeastern half of the Continental United States (CONUS), with an additional experimental real-time run over the entire CONUS and surrounding portions of southern Canada and northern Mexico. The experimental CONUS run incorporates hourly quantitative precipitation estimation (QPE) from the National Severe Storms Laboratory Multi- Radar Multi-Sensor (MRMS) product (Zhang et al. 2011, 2014), which will be transitioned into operations at the National Centers for Environmental Prediction (NCEP) in Fall 2014. This paper describes the current and experimental SPoRT-LIS configurations, and documents some of the limitations still remaining through the advent of MRMS precipitation analyses in the SPoRT-LIS land surface model (LSM) simulations. Section 2 gives background information on the NASA LIS and describes the realtime SPoRT-LIS configurations being compared. Section 3 presents recent work done to develop a training module on situational awareness applications of real-time SPoRT-LIS output. Comparisons between output from the two SPoRT-LIS runs are shown in Section 4, including a documentation of issues encountered in using the MRMS precipitation dataset. A summary and future work in given in Section 5, followed by acknowledgements and references.
    Keywords: Meteorology and Climatology
    Type: M14-3397 , American Meteorological Society (AMS) annual meeting; Feb 02, 2014 - Feb 06, 2014; Atlanta, GA; United States|Conference on Numerical Weather Prediction; Feb 02, 2014 - Feb 06, 2014; Atlanta, GA; United States|Conference on Weather Analysis and Forecasting; Feb 02, 2014 - Feb 06, 2014; Atlanta, GA; United States
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  • 6
    Publication Date: 2019-07-13
    Description: This paper provided a brief background on the work being done at NASA SPoRT and the CDC to create a soil moisture climatology over the CONUS at high spatial resolution, and to provide a valuable source of soil moisture information to the CDC for monitoring conditions that could favor the development of Valley Fever. The soil moisture climatology has multi-faceted applications for both the NOAA/NWS situational awareness in the areas of drought and flooding, and for the Public Health community. SPoRT plans to increase its interaction with the drought monitoring and Public Health communities by enhancing this testbed soil moisture anomaly product. This soil moisture climatology run will also serve as a foundation for upgrading the real-time (currently southeastern CONUS) SPoRT-LIS to a full CONUS domain based on LIS version 7 and incorporating real-time GVF data from the Suomi-NPP Visible Infrared Imaging Radiometer Suite (Vargas et al. 2013) into LIS-Noah. The upgraded SPoRT-LIS run will serve as a testbed proof-of-concept of a higher-resolution NLDAS-2 modeling member. The climatology run will be extended to near real-time using the NLDAS-2 meteorological forcing from 2011 to present. The fixed 1981-2010 climatology shall provide the soil moisture "normals" for the production of real-time soil moisture anomalies. SPoRT also envisions a web-mapping type of service in which an end-user could put in a request for either an historical or real-time soil moisture anomaly graph for a specified county (as exemplified by Figure 2) and/or for local and regional maps of soil moisture proxy percentiles. Finally, SPoRT seeks to assimilate satellite soil moisture data from the current Soil Moisture Ocean Salinity (SMOS; Blankenship et al. 2014) and the recently-launched NASA Soil Moisture Active Passive (SMAP; Entekhabi et al. 2010) missions, using the EnKF capability within LIS. The 9-km combined active radar and passive microwave retrieval product from SMAP (Das et al. 2011) has the potential to provide valuable information about the near-surface soil moisture state for improving land surface modeling output.
    Keywords: Meteorology and Climatology; Earth Resources and Remote Sensing
    Type: MSFC-E-DAA-TN20956 , Annual American Meteorological Society Conference; Jan 04, 2015 - Jan 08, 2015; Phoenix, AZ; United States
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  • 7
    Publication Date: 2019-07-19
    Description: The NASA Short term Prediction Research and Transition (SPoRT) Center in Huntsville, AL has been running a real-time configuration of the Noah land surface model within the NASA Land Information System (LIS) since June 2010. The SPoRT LIS version is run as a stand-alone land surface model over a Southeast Continental U.S. domain with 3-km grid spacing. The LIS contains output variables including soil moisture and temperature at various depths, skin temperature, surface heat fluxes, storm surface runoff, and green vegetation fraction (GVF). The GVF represents another real-time SPoRT product, which is derived from the Moderate Resolution Imaging Spectroradiometer instrument aboard NASA's Aqua and Terra satellites. These data have demonstrated operational utility for drought monitoring and hydrologic applications at the National Weather Service (NWS) office in Huntsville, AL since early 2011. The most relevant data for these applications have proven to be the moisture availability (%) in the 0-10 cm and 0-200 cm layers, and the volumetric soil moisture (%) in the 0-10 cm layer. In an effort to better understand their applicability among locations with different terrain, soil and vegetation types, SPoRT is conducting the first formal assessment of these data at NWS offices in Houston, TX, Huntsville, AL and Raleigh, NC during summer 2014. The goal of this assessment is to evaluate the LIS output in the context of assessing flood risk and determining drought designations for the U.S. Drought Monitor. Forecasters will provide formal feedback via a survey question web portal, in addition to the NASA SPoRT blog. In this presentation, the SPoRT LIS and its applications at NWS offices will be presented, along with information about the summer assessment, including training module development and preliminary results.
    Keywords: Earth Resources and Remote Sensing
    Type: M14-3713 , National Weather Association Annual Meeting; Oct 18, 2014 - Oct 23, 2014; Salt Lake City, UT; United States
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  • 8
    Publication Date: 2019-07-19
    Description: Measurements of soil moisture are a crucial component for the proper monitoring of drought conditions. The large spatial variability of soil moisture complicates the problem. Unfortunately, in situ soil moisture observing networks typically consist of sparse point observations, and conventional numerical model analyses of soil moisture used to diagnose drought are of coarse spatial resolution. Decision support systems such as the U.S. Drought Monitor contain drought impact resolution on sub-county scales, which may not be supported by the existing soil moisture networks or analyses. The NASA Land Information System, which is run with 3 km grid spacing over the eastern United States, has demonstrated utility for monitoring soil moisture. Some of the more useful output fields from the Land Information System are volumetric soil moisture in the 0-10 cm and 40-100 cm layers, column-integrated relative soil moisture, and the real-time green vegetation fraction derived from MODIS (Moderate Resolution Imaging Spectroradiometer) swath data that are run within the Land Information System in place of the monthly climatological vegetation fraction. While these and other variables have primarily been used in local weather models and other operational forecasting applications at National Weather Service offices, the use of the Land Information System for drought monitoring has demonstrated utility for feedback to the Drought Monitor. Output from the Land Information System is currently being used at NWS Huntsville to assess soil moisture, and to provide input to the Drought Monitor. Since feedback to the Drought Monitor takes place on a weekly basis, weekly difference plots of column-integrated relative soil moisture are being produced by the NASA Short-term Prediction Research and Transition Center and analyzed to facilitate the process. In addition to the Drought Monitor, these data are used to assess drought conditions for monthly feedback to the Alabama Drought Monitoring and Impact Group and the Tennessee Drought Task Force, which are comprised of federal, state, and local agencies and other water resources professionals.
    Keywords: Meteorology and Climatology
    Type: M12-2063 , 27th Conference on Hydrology; Jan 06, 2013 - Jan 10, 2013; Austin, TX; United States|93rd American Meteorological Society (AMS) Fall Meeting; Jan 06, 2013 - Jan 10, 2013; Austin, TX; United States
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  • 9
    Publication Date: 2019-07-13
    Description: No abstract available
    Keywords: Earth Resources and Remote Sensing; Air Transportation and Safety
    Type: MSFC-E-DAA-TN50826 , American Meteorological Society (AMS) Annual Meeting; Jan 07, 2018 - Jan 11, 2018; Austin, TX; United States
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  • 10
    Publication Date: 2019-07-13
    Description: The NASA Short-term Prediction Research and Transition (SPoRT) Center in Huntsville, AL is running a real-time configuration of the Noah land surface model (LSM) within the NASA Land Information System (LIS) framework (hereafter referred to as the "SPoRT-LIS"). Output from the real-time SPoRT-LIS is used for (1) initializing land surface variables for local modeling applications, and (2) displaying in decision support systems for situational awareness and drought monitoring at select NOAA/National Weather Service (NWS) partner offices. The experimental CONUS run incorporates hourly quantitative precipitation estimation (QPE) from the National Severe Storms Laboratory Multi- Radar Multi-Sensor (MRMS) which will be transitioned into operations at the National Centers for Environmental Prediction (NCEP) in Fall 2014.This paper describes the current and experimental SPoRT-LIS configurations, and documents some of the limitations still remaining through the advent of MRMS precipitation analyses in the SPoRT-LIS land surface model (LSM) simulations.
    Keywords: Meteorology and Climatology
    Type: M14-3257 , American Meteorological Society Annual Meeting; Feb 02, 2014 - Feb 06, 2014; Atlanta, GA; United States
    Format: application/pdf
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