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A Nowcasting Approach for Low-Earth-Orbiting Hyperspectral Infrared Soundings within the Convective Environment

CITE Title : A Nowcasting Approach for Low-Earth-Orbiting Hyperspectral Infrared Soundings within the Convective Environment Personal Author(s) : Kahn, Brian H.;Berndt, Emily B.;Case, Jonathan L.;Kalmus, Peter M.;Richardson, Mark T.; Published Date : 2023 Source : Weather and Forecasting, 38(8), 1295-1312 DOI : https://doi.org/10.1175/waf-d-22-0204.1 Journal Title : Weather and Forecasting Kahn, Brian H. et al. (2023). A Nowcasting Approach for Low-Earth-Orbiting Hyperspectral Infrared Soundings within the Convective Environment. 38(8). https://doi.org/10.1175/waf-d-22-0204.1 Kahn, Brian H. et al. "A Nowcasting Approach for Low-Earth-Orbiting Hyperspectral Infrared Soundings within the Convective Environment" 38, no. 8 (2023), https://doi.org/10.1175/waf-d-22-0204.1 Kahn, Brian H. et al. "A Nowcasting Approach for Low-Earth-Orbiting Hyperspectral Infrared Soundings within the Convective Environment" vol. 38, no. 8, 2023, https://doi.org/10.1175/waf-d-22-0204.1 Export RIS Citation Information.

:

Kahn, Brian H. ;

Berndt, Emily B.

2023 | Weather and Forecasting, 38(8), 1295-1312

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Low-Earth-orbiting (LEO) hyperspectral infrared (IR) sounders have significant yet untapped potential for characterizing thermodynamic environments of...
A pervasive role for biomass burning in tropical high ozone/low water structures

CITE Title : A pervasive role for biomass burning in tropical high ozone/low water structures Personal Author(s) : Anderson, Daniel C.;Nicely, Julie M.;Salawitch, Ross J.;Canty, Timothy P.;Dickerson, Russell R.;Hanisco, Thomas F.;Wolfe, Glenn M.;Apel, Eric C.;Atlas, Elliot;Bannan, Thomas;Bauguitte, Stephane;Blake, Nicola J.;Bresch, James F.;Campos, Teresa L.;Carpenter, Lucy J.;Cohen, Mark D.;Evans, Mathew;Fernandez, Rafael P.;Kahn, Brian H.;Kinnison, Douglas E.;Hall, Samuel R.;Harris, Neil R.P.;Hornbrook, Rebecca S.;Lamarque, Jean-Francois;Le Breton, Michael;Lee, James D.;Percival, Carl;Pfister, Leonhard;Pierce, R. Bradley;Riemer, Daniel D.;Saiz-Lopez, Alfonso;Stunder, Barbara J.B.;Thompson, Anne M.;Ullmann, Kirk;Vaughan, Adam;Weinheimer, Andrew J.; Published Date : 2016 Source : Nature Communications 7 (10267) DOI : https://doi.org/10.1038/ncomms10267 Journal Title : Nature Communications Anderson, Daniel C. et al. (2016). A pervasive role for biomass burning in tropical high ozone/low water structures. 7https://doi.org/10.1038/ncomms10267 Anderson, Daniel C. et al. "A pervasive role for biomass burning in tropical high ozone/low water structures" 7 (2016), https://doi.org/10.1038/ncomms10267 Anderson, Daniel C. et al. "A pervasive role for biomass burning in tropical high ozone/low water structures" vol. 7, 2016, https://doi.org/10.1038/ncomms10267 Export RIS Citation Information.

:

Anderson, Daniel C. ;

Nicely, Julie M.

2016 | Nature Communications 7 (10267)

:

Air parcels with mixing ratios of high O-3 and low H2O (HOLW) are common features in the tropical western Pacific (TWP) mid-troposphere (300-700 hPa)....
Subpixel Characterization of HIRS Spectral Radiances Using Cloud Properties from AVHRR

CITE Title : Subpixel Characterization of HIRS Spectral Radiances Using Cloud Properties from AVHRR Personal Author(s) : Staten, Paul W.;Kahn, Brian H.;Schreier, Mathias M.;Heidinger, Andrew K.; Published Date : 2016 Source : Journal of Atmospheric and Oceanic Technology, 33(7), 1519-1538 DOI : https://doi.org/10.1175/Jtech-D-15-0187.1 Journal Title : Journal of Atmospheric and Oceanic Technology Staten, Paul W. et al. (2016). Subpixel Characterization of HIRS Spectral Radiances Using Cloud Properties from AVHRR. 33(7). https://doi.org/10.1175/Jtech-D-15-0187.1 Staten, Paul W. et al. "Subpixel Characterization of HIRS Spectral Radiances Using Cloud Properties from AVHRR" 33, no. 7 (2016), https://doi.org/10.1175/Jtech-D-15-0187.1 Staten, Paul W. et al. "Subpixel Characterization of HIRS Spectral Radiances Using Cloud Properties from AVHRR" vol. 33, no. 7, 2016, https://doi.org/10.1175/Jtech-D-15-0187.1 Export RIS Citation Information.

:

Staten, Paul W. ;

Kahn, Brian H.

2016 | Journal of Atmospheric and Oceanic Technology, 33(7), 1519-1538

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This paper describes a cloud type radiance record derived from NOAA polar-orbiting weather satellites using cloud properties retrieved from the Advanc...
Adapting Satellite Soundings for Operational Forecasting within the Hazardous Weather Testbed

CITE Title : Adapting Satellite Soundings for Operational Forecasting within the Hazardous Weather Testbed Personal Author(s) : Esmaili, Rebekah B.;Smith, Nadia;Berndt, Emily B.;Dostalek, John F.;Kahn, Brian H.;White, Kristopher;Barnet, Christopher D.;Sjoberg, William;Goldberg, Mitchell; Published Date : 2020 Source : Remote Sensing, 12(5), 886 DOI : https://doi.org/10.3390/rs12050886 Journal Title : Remote Sensing Esmaili, Rebekah B. et al. (2020). Adapting Satellite Soundings for Operational Forecasting within the Hazardous Weather Testbed. 12(5). https://doi.org/10.3390/rs12050886 Esmaili, Rebekah B. et al. "Adapting Satellite Soundings for Operational Forecasting within the Hazardous Weather Testbed" 12, no. 5 (2020), https://doi.org/10.3390/rs12050886 Esmaili, Rebekah B. et al. "Adapting Satellite Soundings for Operational Forecasting within the Hazardous Weather Testbed" vol. 12, no. 5, 2020, https://doi.org/10.3390/rs12050886 Export RIS Citation Information.

:

Esmaili, Rebekah B. ;

Smith, Nadia

2020 | Remote Sensing, 12(5), 886

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In this paper, we describe how researchers and weather forecasters work together to make satellite sounding data sets more useful in severe weather fo...
Predictive Inference for Big, Spatial, Non‐Gaussian Data: MODIS Cloud Data and its Change‐of‐Support

CITE Title : Predictive Inference for Big, Spatial, Non‐Gaussian Data: MODIS Cloud Data and its Change‐of‐Support Personal Author(s) : Sengupta, Aritra;Cressie, Noel;Kahn, Brian H.;Frey, Richard; Published Date : 2016 Source : Australian & New Zealand Journal of Statistics, 58(1), 15-45 DOI : https://doi.org/10.1111/anzs.12148 Journal Title : Australian & New Zealand Journal of Statistics Sengupta, Aritra et al. (2016). Predictive Inference for Big, Spatial, Non‐Gaussian Data: MODIS Cloud Data and its Change‐of‐Support. 58(1). https://doi.org/10.1111/anzs.12148 Sengupta, Aritra et al. "Predictive Inference for Big, Spatial, Non‐Gaussian Data: MODIS Cloud Data and its Change‐of‐Support" 58, no. 1 (2016), https://doi.org/10.1111/anzs.12148 Sengupta, Aritra et al. "Predictive Inference for Big, Spatial, Non‐Gaussian Data: MODIS Cloud Data and its Change‐of‐Support" vol. 58, no. 1, 2016, https://doi.org/10.1111/anzs.12148 Export RIS Citation Information.

:

Sengupta, Aritra ;

Cressie, Noel

2016 | Australian & New Zealand Journal of Statistics, 58(1), 15-45

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Summary Remote sensing of the earth with satellites yields datasets that can be massive in size, nonstationary in space, and non‐Gaussian in distrib...