Dr. Niama Boukachaba

Dr. Niama Boukachaba

  • ASSOCIATE SCIENTIST
  • 301.286.5325
  • NASA/GSFC
  • Mail Code: 610.1
  • Greenbelt , MD 20771
  • Employer: UNIVERSITIES SPACE RESEARCH ASSOCIATION
  • Brief Bio

    Dr. Niama Boukachaba is an associate scientist working at the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center. She is working on two different projects. The first project involves evaluating gridded MERRA-2 data assimilation innovations (called Gridded Innovations and Observations - GIO), and associated datasets such as OmF and OmA, for weather and climate case studies. The second project involves defining an optimal comprehensive cloud-clearing strategy for AIRS, CrIS and IASI with the ultimate goal of assimilating adaptively thinned cloud-cleared hyperspectral data. Both these projects are aimed at enhancing GMAO’s emergent capabilities in data assimilation and contributing to existing projects and research.

     

    Research Interests

    Satellite data assimilation

    Numerical weather prediction

    Remote sensing

    Land Use Land Cover Change

    Positions/Employment

    7/2020 - Present

    Associate scientist

    Universities Space Research Association (USRA), NASA GSFC, Greenbelt, MD.
    8/2019 - 6/2020

    Visiting associate scientist

    Universities Space Research Association (USRA), NASA GSFC, Greenbelt, MD.
    11/2017 - 9/2018

    Post-Doctoral Associate

    Earth System Science Interdisciplinary Center (ESSIC), University of Maryland (UMD) & NASA GSFC, Greenbelt, MD.

    Education

    • PhD in Atmospheric Sciences, National Center of Meteorological Research (CNRM) of Météo-France and National Polytechnic Institute of Toulouse (INPT), Toulouse, France, 2017. Thesis: "Contribution of IASI IR hyperspectral satellite observations over land in the convective scale AROME model".
    • MS in Space Science and Technology, African Regional Center for Space Science and Technology in French Language, Rabat, Morocco, 2014. Thesis: "Analysis and comparison of dynamic surface albedo and estimated radiative forcing resulting using in situ and satellite data".
    • MS in Green Engineering & Analytical Methodologies and Management of Biodiversity, Cadi Ayyad University, Marrakesh, Morocco, 2012. Thesis: "Development of an indicator system for monitoring climate change in the region of Marrakesh Tensift Al Haouz".
    • Bachelor in Life Sciences, Cadi Ayyad University, Marrakesh, Morocco, 2010.
       
       
       


     

    Professional Service

    Reviewer for the Remote Sensing of Environment journal.

    Talks, Presentations and Posters

    2021

    Ganeshan, M., McGrath-Spangler, E. L., Reale, O., Boukachaba, N., McCarty, W., and Gelaro, R. 2021. “Impact of assimilating infrared cloud-cleared radiances on the representation of Polar Lows and Tropical-like Cyclone in a global modeling and data assimilation framework”. Poster at the Virtual AMS Annual Meeting, 10-15 January, USA.


    2021

    Boukachaba, N., Reale, O., McGrath-Spangler, E. L. Ganeshan, M., Barnet, C., McCarty, W., and Gelaro, R, 2021. “An Efficient Approach to Assimilate IR Cloud-Cleared Radiances in a Global Data Assimilation System: Application and Impact Assessment Using AIRS”. Oral presentation at the Virtual AMS's 101st Annual Meeting, Ninth AMS Symposium on the Joint Center for Satellite Data Assimilation (JCSDA), 10-15 January, USA.

    2020

    Boukachaba, N., Bosilovich, M. and da Silva, A., 2020. Development of Gridded Innovations and Observations Data for Reanalysis Diagnostics. Oral presentation, GMAO virtual science theme meetings, 23 Apr. 2020, NASA/GSFC, USA.

    2020

    Reale, O., Boukachaba, N., McGrath-Spangler, E., Ganeshan, M., Barnett, C., McCarty, W., and Gelaro, R., 2020. Advances towards an efficient multi-instrument assimilation of cloud-clear radiances in a global data assimilation and forecast framework. Oral presentation, Virtual AIRS Science Team Meeting, 7-13 May, USA.

    2020

    Akbari Asanjan, A., Ganeshan, M., Boukachaba, N., McGrath-Spangler, E., Reale, O., Sorek-Hamer, M., 2020. Fine-Delineated Tropical Cyclone Detection from Geostationary Satellites and IBTrACS data using Advanced Neural Networks. The 2nd NOAA Workshop on Leveraging AI in Environmental Sciences: Exploiting Space- and Ground-Based Observations and Enhancing Earth System Prediction. Workshop in Slow Motion (WiSM), July 2020 - February 2021.

     

    2020

    Reale, O., McGrath-Spangler, E., Ganeshan, M., Boukachaba, N., McCarty, W., Barnett, C., Gelaro, R., 2020. Impact of assimilating multi-instrument hyperspectral infrared cloud-cleared radiances on hurricanes Harvey, Irma and Maria during the 2017 Atlantic season. Fall 2020 virtual NASA Sounder Science Team Meeting, Oct 2-16, 2020.

     

    2020

    McGrath-Spangler, E., Reale, O., Ganeshan, M., Boukachaba, N.,  Barnett, C., McCarty, W., Gelaro, R. 2020. Impact of hyperspectral infrared radiance assimilation in cloudy regions: A study of the 2017 Atlantic tropical cyclone season with the NASA GEOS. Oral presentation at the AGU Fall Meeting on 7-11 December, USA.

    2020

    Akbari Asanjan, A., Ganeshan, M., Boukachaba, N., McGrath-Spangler, E., Reale, O., Sorek-Hamer, M., 2020. Boundary-aware Tropical Cyclone Detection from Geostationary Satellites and Climatic Archive Data using Advanced Neural Networks. Poster presented at the AGU Fall Meeting on 1-17 December, USA.

    2019

    McGrath-Spangler, E., Reale, O., Ganeshan, M., McCarty, W., Gelaro, R. and Boukachaba, N., 2019. Progress in the assimilation of cloud-cleared infrared radiances in the GEOS to improve tropical cyclone representation. Oral presentation, GMAO science theme meetings, 12 Sep, 2019, NASA/GSFC, USA.

    2019

    Ganeshan, M., McGrath-Spangler, E., Reale, O., McCarty, W. , Gelaro, R. and Boukachaba, N., 2019. Continued research on the impact of assimilating AIRS cloud-cleared radiances on mesoscale warm-core cyclones outside the tropics. Oral presentation, NASA Sounder Science Team Meeting, 25-27 September 2019, College Park, MD, USA.

    2019

    Reale, O., McGrath-Spangler, E., Ganeshan, M., McCarty, W., Gelaro, R, Karpowicz, B. and Boukachaba, N., 2019. Advances towards ingestion of multi-instrument cloud-cleared infrared radiances in a global data assimilation and forecast framework. Oral presentation, NASA Sounder Science Team Meeting, 25-27 September 2019, College Park, MD, USA.

    2019

    McGrath-Spangler, E., Ganeshan, M., Reale, O., McCarty, W., Gelaro, R. and Boukachaba, N., 2019. Sensitivity to data density of assimilated cloud-cleared AIRS radiances in the new hybrid 4dEnVAR GEOS. Oral presentation, NASA Sounder Science Team Meeting, 25-27 September 2019, College Park, MD, USA.

    2017

    Fourrié, N., Guidard, V., Boukachaba, N., Farouk, I., 2017. Toward a better use of IASI over land and in cloudy areas in Météo-France NWP models at global and meso scales. 7th International WMO Symposium on Data Assimilation. 11-15 September, 2017, Florianópolis, Brazil. 

    http://cimss.ssec.wisc.edu/iswg/meetings/2017/presentations/Session01/ISWG2017_S01_05.pdf.

    2017

    Fourrié, N., Guidard, V., Boukachaba, N., BIRMAN, C., 2017. Toward a better use of Infrared radiances over land in NWP models at global and meso scales. The 1st International Surface Working Group. 19-20 July, 2017,Monterey, California, USA.

    http://cimss.ssec.wisc.edu/iswg/meetings/2017/presentations/Session01/ISWG2017_S01_05.pdf

    2016

    Boukachaba, N., Guidard, V., Fourrié, N., 2016. Improvement of the assimilation of IASI radiances over land in the regional numerical weather prediction AROME-France model. EUMETSAT Meteorological Satellite Conference. 26 - 30 September 2016. Darmstadt , Germany.

    2016

    Boukachaba, N., Guidard, V., Fourrié, N., 2016. Assimilation of IASI surface-sensitive channels over land at convective scale AROME Model. The 4th IASI Conference. 11 - 15 April 2016, Antibes Juanles-Pins, France.

    2016

    Boukachaba, N., Guidard, V., Fourrié, N., 2016. The improvement of assimilation of IASI surfacesensitive channels over land at convective scale AROME Model. The 4th edition of “Remote Sensing and Modeling of Surface properties (RSMSP)” workshop. 14 - 16 March 2016, Grenoble, France.

    2016

    Boukachaba, N., Guidard, V., Fourrié, N., 2016. Surface temperature retrievals from IASI and SEVIRI channels in the convective scale numerical prediction AROME-France model. The 4th IASI Conference. 11 - 15 April 2016, Antibes Juan-lesPins, France.

    2015

    Boukachaba, N., Guidard, V., Fourrié, N., 2015. Land surface temperature retrieval from IASI for assimilation over the AROME-France domain. EUMETSAT Meteorological Satellite Conference. September 21 - 25, 2015, Toulouse, France.
    http://www.eumetsat.int/website/home/News/ConferencesandEvents/DAT_2305526.html.

    2015

    Boukachaba, N., Guidard, V., Fourrié, N., 2015. Improved assimilation of IASI land surface temperature data over continents in the convective scale AROME France model. The 20th International TOVS Study Conference. 28 October - 3 November 2015, Lake Geneva, Wisconsin, USA.

    2015

    Boukachaba, N., Guidard, V., Fourrié, N., 2015. Land surface temperature retrieval from IASI for assimilation over the AROME-France domain. EUMETSAT Meteorological Satellite Conference. September 21 - 25, 2015, Toulouse, France.

    Brief Bio

    Dr. Niama Boukachaba is an associate scientist working at the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center. She is working on two different projects. The first project involves evaluating gridded MERRA-2 data assimilation innovations (called Gridded Innovations and Observations - GIO), and associated datasets such as OmF and OmA, for weather and climate case studies. The second project involves defining an optimal comprehensive cloud-clearing strategy for AIRS, CrIS and IASI with the ultimate goal of assimilating adaptively thinned cloud-cleared hyperspectral data. Both these projects are aimed at enhancing GMAO’s emergent capabilities in data assimilation and contributing to existing projects and research.

     

                                                                                                                                                                                            
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