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Sensitivities of the WRF Lightning Forecasting Algorithm to Parameterized Microphysics and Boundary Layer Schemes

CITE Title : Sensitivities of the WRF Lightning Forecasting Algorithm to Parameterized Microphysics and Boundary Layer Schemes Personal Author(s) : McCaul, Eugene W.;Priftis, Georgios;Case, Jonathan L.;Chronis, Themis;Gatlin, Patrick N.;Goodman, Steven J.;Kong, Fanyou; Published Date : 2020 Source : Weather and Forecasting, 35(4), 1545-1560 DOI : https://doi.org/10.1175/waf-d-19-0101.1 Journal Title : Weather and Forecasting McCaul, Eugene W. et al. (2020). Sensitivities of the WRF Lightning Forecasting Algorithm to Parameterized Microphysics and Boundary Layer Schemes. 35(4). https://doi.org/10.1175/waf-d-19-0101.1 McCaul, Eugene W. et al. "Sensitivities of the WRF Lightning Forecasting Algorithm to Parameterized Microphysics and Boundary Layer Schemes" 35, no. 4 (2020), https://doi.org/10.1175/waf-d-19-0101.1 McCaul, Eugene W. et al. "Sensitivities of the WRF Lightning Forecasting Algorithm to Parameterized Microphysics and Boundary Layer Schemes" vol. 35, no. 4, 2020, https://doi.org/10.1175/waf-d-19-0101.1 Export RIS Citation Information.

:

McCaul, Eugene W. ;

Priftis, Georgios

2020 | Weather and Forecasting, 35(4), 1545-1560

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The Lightning Forecasting Algorithm (LFA), a simple empirical procedure that transforms kinematic and microphysical fields from explicit-convection nu...
Oceanic Validation of IMERG-GMI Version 6 Precipitation Using the GPM Validation Network

CITE Title : Oceanic Validation of IMERG-GMI Version 6 Precipitation Using the GPM Validation Network Personal Author(s) : Watters, Daniel C.;Gatlin, Patrick N.;Bolvin, David T.;Huffman, George J.;Joyce, Robert;Kirstetter, Pierre;Nelkin, Eric J.;Ringerud, Sarah;Tan, Jackson;Wang, Jianxin;Wolff, David; Published Date : 2024 Source : Journal of Hydrometeorology, 25(1), 125-142 DOI : https://doi.org/10.1175/jhm-d-23-0134.1 Journal Title : Journal of Hydrometeorology Watters, Daniel C. et al. (2024). Oceanic Validation of IMERG-GMI Version 6 Precipitation Using the GPM Validation Network. 25(1). https://doi.org/10.1175/jhm-d-23-0134.1 Watters, Daniel C. et al. "Oceanic Validation of IMERG-GMI Version 6 Precipitation Using the GPM Validation Network" 25, no. 1 (2024), https://doi.org/10.1175/jhm-d-23-0134.1 Watters, Daniel C. et al. "Oceanic Validation of IMERG-GMI Version 6 Precipitation Using the GPM Validation Network" vol. 25, no. 1, 2024, https://doi.org/10.1175/jhm-d-23-0134.1 Export RIS Citation Information.

:

Watters, Daniel C.

;

Gatlin, Patrick N.

2024 | Journal of Hydrometeorology, 25(1), 125-142

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NASA’s multisatellite precipitation product from the Global Precipitation Measurement (GPM) mission, the Integrated Multi-satellitE Retrievals for G...
Simulated Feasibility of 3-D Lightning Mapping From Space

CITE Title : Simulated Feasibility of 3-D Lightning Mapping From Space Personal Author(s) : Remington, Jackson R.;Gatlin, Patrick N.;Stough, Sarah M.;Pailoor, Nikhil;Behnke, Sonja A.;Lang, Timothy J.;Edens, Harald E.; Published Date : 2024 Source : IEEE Transactions on Geoscience and Remote Sensing, 62, 1-9 DOI : https://doi.org/10.1109/tgrs.2024.3398508 Journal Title : IEEE Transactions on Geoscience and Remote Sensing Remington, Jackson R. et al. (2024). Simulated Feasibility of 3-D Lightning Mapping From Space. 62https://doi.org/10.1109/tgrs.2024.3398508 Remington, Jackson R. et al. "Simulated Feasibility of 3-D Lightning Mapping From Space" 62 (2024), https://doi.org/10.1109/tgrs.2024.3398508 Remington, Jackson R. et al. "Simulated Feasibility of 3-D Lightning Mapping From Space" vol. 62, 2024, https://doi.org/10.1109/tgrs.2024.3398508 Export RIS Citation Information.

:

Remington, Jackson R.

;

Gatlin, Patrick N.

2024 | IEEE Transactions on Geoscience and Remote Sensing, 62, 1-9

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In addition to the awe it inspires, lightning can illuminate the microphysical processes hidden away within deep convection. The current generation of...