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    Soil Organic Carbon and Nitrogen Feedbacks on Crop Yields Under Climate Change (2018)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: A critical omission from climate change impact studies on crop yield is the interaction between soil organic carbon (SOC), nitrogen (N) availability, and carbon dioxide (CO2). We used a multimodel ensemble to predict the effects of SOC and N under different scenarios of temperatures and CO2 concentrations on maize (Zea mays L.) and wheat (Triticum aestivum L.) yield in eight sites across the world. We found that including feedbacks from SOC and N losses due to increased temperatures would reduce yields by 13% in wheat and 19% in maize for a 3C rise temperature with no adaptation practices. These losses correspond to an additional 4.5% (+3C) when compared to crop yield reductions attributed to temperature increase alone. Future CO2 increase to 540 ppm would partially compensate losses by 80% for both maize and wheat at +3C, and by 35% for wheat and 20% for maize at +6C, relative to the baseline CO2 scenario.
    Keywords: Earth Resources and Remote Sensing
    Type: GSFC-E-DAA-TN60415 , Agricultural & Environmental Letters (e-ISSN 2471-9625); 3; 1
    Format: text
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    Evaluation of Geostationary Lightning Mapper (GLM) Navigation Performance with the INR Performance Assessment Toolset (IPATS) (2018)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The GOES-R flight project has developed the Image Navigation and Registration (INR) Performance Assessment Tool Set (IPATS) to perform independent INR evaluations of the optical instruments on the GOES-R series spacecraft. In this presentation, we document the development of navigation (NAV) evaluation capabilities within IPATS for the Geostationary Lightning Mapper (GLM). We also discuss the post-processing quality filtering developed for GLM NAV, and present example results for several GLM background image datasets. Initial results suggest that GOES-16 GLM is compliant with navigation requirements.
    Keywords: Earth Resources and Remote Sensing
    Type: Paper # 10781-29 , GSFC-E-DAA-TN59592 , SPIE Asia-Pacific Remote Sensing; Sep 24, 2018 - Sep 26, 2018; Honolulu, HI; United States
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    In-Situ and GRACE-Based Groundwater Observations: Similarities, Discrepancies, and Evaluation in the High Plains Aquifer in Kansas (2018)
    In:  CASI
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    Publication Date: 2019-09-28
    Description: Relating Gravity Recovery and Climate Experiment (GRACE)derived terrestrial water storage anomaly (aTWS) variations to in situ groundwater data is important to understanding GRACE data utility. Here GRACEderived annual changes in aTWS (TWS) from National Aeronautics and Space Administration's Jet Propulsion Laboratory and Goddard Space Flight Center are compared to annual changes in saturated groundwater volumes (GW) in the High Plains aquifer (HPA) and overlying alluvial aquifers in Kansas. Regression analysis suggests that trends in TWS are strongly related to trends in GWalluvial and weakly related to trends in GWHPA, although the magnitude of TWS is much larger than GWalluvial and is similar to GWHPA. Unlike alluvial aquifers, a thick vadose zone overlies the HPA. Estimates of changes in vadose zone water content (VZ) using GRACE products are similar in magnitude to annual variations in North American Land Data Assimilation soil moisture data, suggesting an unexpected dominance of VZ in TWS despite significant groundwater depletion. Results demonstrate that water storage changes in shallow alluvial aquifers, the root zone, the deep vadose zone, and the HPA itself are all significant in the HPA region of Kansas. Consequently, GRACE observations cannot, alone, be taken to reflect variations in saturated zone groundwater storage in the HPA, or other large, heavily used aquifers subject to substantial groundwater depletion, when deep unsaturated zones exist. GRACE can best provide guidance on regional aquifer storage changes where water storage changes in the vadose zone and perched or adjacent aquifers are well constrained.
    Keywords: Earth Resources and Remote Sensing
    Type: GSFC-E-DAA-TN60582 , Water Resources Research (ISSN 0043-1397) (e-ISSN 1944-7973); 54; 10; 8034-8044
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