Integrating NASA Earth Observations to Monitor Thunderstorms … · 2018-07-31 · the Hindu-Kush...
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This material is based upon work supported by NASA through contract NNL16AA05C and cooperative agreement NNX14AB60A. Any mention of a commercial product, service or activity in this material does not constitute NASA endorsement. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Aeronautics and Space Administration and partner organizations. ¯ China India Bhutan Nepal Bangladesh Bay of Bengal ¯ India China Results Abstract Objectives Methodology Study Area Earth Observations Bhupesh Adhikary, International Centre for Integrated Mountain Development Subash Rimal, Department of Hydrology and Meteorology, Nepal Abdul Mannan, Bangladesh Meteorological Department Lee Ellenburg, NASA SERVIR - Science Coordination Office Leigh Sinclair, NASA Global Hydrology Resource Center Distributed Active Archive Center Dr. Jeffrey Luvall, NASA Marshall Space Flight Center Dr. Robert Griffin, University of Alabama Huntsville Dr. Patrick Gatlin, NASA SERVIR – Applied Science Team Maggi Klug, University of Alabama Huntsville Amanda Markert, NASA SERVIR – Mekong Acknowledgements Project Partners Conclusions Intense thunderstorms throughout the Hindu-Kush Himalayan (HKH) region have resulted in an upsurge of lightning-related deaths due to an increase in population. Partnering with the NASA Global Hydrology Resource Center Distributed Active Archive Center, NASA SERVIR Science Coordination Office, Bangladesh Meteorological Department (BMD), Nepal Department of Hydrology and Meteorology (DHM), and the International Centre for Integrated Mountain Development, this study investigated the lightning risks in the HKH region and the correlation between precipitation and lightning. The team plotted lightning flash point data collected by the Lightning Imaging Sensor (LIS) aboard the Tropical Rainfall Measuring Mission (TRMM) and International Space Station (ISS) to determine the locations where the highest concentrations of lightning strikes occurred from January 2000 to December 2017. Additionally, the team used the TRMM Microwave Imager (TMI), TRMM Precipitation Radar (PR) and Global Precipitation Measurement (GPM) mission Integrated Multi-Satellite Retrievals (IMERG) data to determine areas with the highest precipitation totals over Bangladesh and Nepal. A Lightning Risk Map, created to highlight lightning-prone areas and regions with vulnerable populations, showed that populations in Bangladesh were comparatively more vulnerable to lightning than those in Nepal. A Precipitation and Lightning Correlation was determined, indicating if areas experiencing heavier precipitation corresponded with areas experiencing higher lightning totals. These end products will assist the BMD and the DHM to increase hazard awareness and issue earlier warning times to reduce lightning casualties. Aid project partners in emergency management by identifying areas that are historically prone to experiencing high lightning counts Identify areas where high lightning activity will impact the most vulnerable communities of Nepal and Bangladesh Provide the Bangladesh Meteorological Department and the Nepal Department of Hydrology and Meteorology with a resource to use precipitation patterns as a proxy for lightning strikes in the Hindu- Kush Himalayan Region Bangladesh Meteorological Department Ministry of Population and Environment, Department of Hydrology and Meteorology (Nepal) International Centre for Integrated Mountain Development (ICIMOD) NASA SERVIR Science Coordination Office NASA Global Hydrology Resource Center Distributed Active Archive Center Team Members Alabama – Marshall | Summer 2018 Hindu-Kush Himalayan Disasters Integrating NASA Earth Observations to Monitor Thunderstorms and Assess Lightning Exposure in the Hindu-Kush Himalayan Region Sisam Shrestha Global Precipitation Measurement IMERG International Space Station Lightning Imaging Sensor (LIS) Tropical Rainfall Measuring Mission LIS, TMI, PR Shuttle Radar Topography Mission Christine Evans Project Lead Essence Raphael Lightning Exposure Map TRMM LIS ISS LIS Clipping Re-Projection Optimized Hotspot Analysis Lightning Risk Map ISS LIS GPM IMERG SRTM United Nations International Strategy for Disaster Reduction population and socioeconomic data Clipping Re-Projection Reclassification Kernel Density Empirical Bayesian Kinging Interpolation Fuzzy Logic Membership Fuzzy Overlay Precipitation & Lightning Correlation TRMM TMI/PR TRMM LIS Format Data Maximum Entropy Statistical Analysis Data Processing Analysis Lightning Density Strikes/sq.km. 0 - 4.9 5 - 9.9 10 - 14.9 15 - 19.9 20 - 44 Lightning Exposure 2001 - 2017 ¯ Risk Analysis High Risk Low Risk ¯ Lightning Risk 2001 - 2017 Month R-Value January 0.23999 February 0.31125 March 0.37263 April 0.34520 May 0.35507 June 0.28813 Month R-Value July 0.15801 August 0.15409 September 0.22095 October 0.17965 November 0.11361 December 0.15545 Precipitation and Lightning Correlation 2001 - 2017 Lightning is most common in the western region of Nepal and in the Sylhet district of Bangladesh. Regions in Bangladesh were comparatively more vulnerable to lightning than those in Nepal due to high population density and insubstantial housing conditions. Correlation between precipitation rates and lightning strikes were low when calculated by averaging monthly values across the study period.
Transcript of Integrating NASA Earth Observations to Monitor Thunderstorms … · 2018-07-31 · the Hindu-Kush...
This material is based upon work supported by NASA through contract NNL16AA05C and cooperative agreement NNX14AB60A. Any mention of a commercial product, service or activity in this material does not constitute NASA endorsement. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Aeronautics and Space Administration and partner organizations.
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China
India
Bhutan
Nepal
Bangladesh
Bay of
Bengal
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India
China
Results
Abstract Objectives
Methodology
Study Area
Earth Observations
Bhupesh Adhikary, International Centre for Integrated Mountain DevelopmentSubash Rimal, Department of Hydrology and Meteorology, NepalAbdul Mannan, Bangladesh Meteorological DepartmentLee Ellenburg, NASA SERVIR - Science Coordination OfficeLeigh Sinclair, NASA Global Hydrology Resource Center Distributed Active Archive CenterDr. Jeffrey Luvall, NASA Marshall Space Flight CenterDr. Robert Griffin, University of Alabama HuntsvilleDr. Patrick Gatlin, NASA SERVIR – Applied Science TeamMaggi Klug, University of Alabama HuntsvilleAmanda Markert, NASA SERVIR – Mekong
Acknowledgements
Project Partners
Conclusions
Intense thunderstorms throughout the Hindu-Kush Himalayan (HKH) region have resulted inan upsurge of lightning-related deaths due to an increase in population. Partnering with theNASA Global Hydrology Resource Center Distributed Active Archive Center, NASASERVIR Science Coordination Office, Bangladesh Meteorological Department (BMD), NepalDepartment of Hydrology and Meteorology (DHM), and the International Centre forIntegrated Mountain Development, this study investigated the lightning risks in the HKHregion and the correlation between precipitation and lightning. The team plotted lightningflash point data collected by the Lightning Imaging Sensor (LIS) aboard the Tropical RainfallMeasuring Mission (TRMM) and International Space Station (ISS) to determine the locationswhere the highest concentrations of lightning strikes occurred from January 2000 toDecember 2017. Additionally, the team used the TRMM Microwave Imager (TMI), TRMMPrecipitation Radar (PR) and Global Precipitation Measurement (GPM) mission IntegratedMulti-Satellite Retrievals (IMERG) data to determine areas with the highest precipitation totalsover Bangladesh and Nepal. A Lightning Risk Map, created to highlight lightning-prone areasand regions with vulnerable populations, showed that populations in Bangladesh werecomparatively more vulnerable to lightning than those in Nepal. A Precipitation and LightningCorrelation was determined, indicating if areas experiencing heavier precipitationcorresponded with areas experiencing higher lightning totals. These end products will assistthe BMD and the DHM to increase hazard awareness and issue earlier warning times to reducelightning casualties.
Aid project partners in emergency management by identifying areas that are historically prone toexperiencing high lightning counts
Identify areas where high lightning activity will impact the most vulnerable communities of Nepal andBangladesh
Provide the Bangladesh Meteorological Department and the Nepal Department of Hydrology andMeteorology with a resource to use precipitation patterns as a proxy for lightning strikes in the Hindu-Kush Himalayan Region
Bangladesh Meteorological Department Ministry of Population and Environment, Department of Hydrology and Meteorology (Nepal) International Centre for Integrated Mountain Development (ICIMOD) NASA SERVIR Science Coordination Office NASA Global Hydrology Resource Center Distributed Active Archive Center
Team Members
Alabama – Marshall | Summer 2018Hindu-Kush Himalayan Disasters
Integrating NASA Earth Observations to Monitor Thunderstorms and Assess Lightning Exposure in the Hindu-Kush Himalayan Region
Sisam Shrestha
Global Precipitation Measurement
IMERG
International Space Station
Lightning Imaging Sensor (LIS)
Tropical Rainfall Measuring Mission
LIS, TMI, PR
Shuttle Radar
Topography Mission
Christine Evans
Project Lead
Essence Raphael
Lightning Exposure Map
TRMM LIS
ISS LIS
Clipping
Re-Projection
Optimized Hotspot Analysis
Lightning Risk Map
ISS LISGPM IMERG
SRTMUnited Nations International Strategy for Disaster
Reduction population and socioeconomic data
ClippingRe-Projection
ReclassificationKernel Density
Empirical Bayesian Kinging Interpolation
Fuzzy Logic Membership
Fuzzy Overlay
Precipitation & Lightning
Correlation
TRMM TMI/PR
TRMM LIS
Format Data
Maximum Entropy Statistical
Analysis
Dat
aP
roce
ssin
gA
nal
ysis
Lightning DensityStrikes/sq.km.
0 - 4.9
5 - 9.9
10 - 14.9
15 - 19.9
20 - 44
Lightning Exposure 2001 - 2017
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Risk Analysis
High Risk
Low Risk
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Lightning Risk 2001 - 2017
Month R-Value
January 0.23999
February 0.31125
March 0.37263
April 0.34520
May 0.35507
June 0.28813
Month R-Value
July 0.15801
August 0.15409
September 0.22095
October 0.17965
November 0.11361
December 0.15545
Precipitation and Lightning Correlation 2001 - 2017
Lightning is most common in the western region of Nepal and in the Sylhet district of Bangladesh. Regions in Bangladesh were comparatively more vulnerable to lightning than those in Nepal due to high
population density and insubstantial housing conditions. Correlation between precipitation rates and lightning strikes were low when calculated by averaging
monthly values across the study period.
