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The influence of natural variability on extreme monsoons in Pakistan

CITE Title : The influence of natural variability on extreme monsoons in Pakistan Personal Author(s) : Ashfaq, Moetasim;Johnson, Nathaniel;Kucharski, Fred;Diffenbaugh, Noah S.;Abid, Muhammad Adnan;Horan, Matthew F.;Singh, Deepti;Mahajan, Salil;Ghosh, Subimal;Ganguly, Auroop R.;Evans, Katherine J.;Islam, Shafiqul; Published Date : 2023 Source : npj Climate and Atmospheric Science, 6(1) DOI : https://doi.org/10.1038/s41612-023-00462-8 Journal Title : npj Climate and Atmospheric Science Ashfaq, Moetasim et al. (2023). The influence of natural variability on extreme monsoons in Pakistan. 6(1). https://doi.org/10.1038/s41612-023-00462-8 Ashfaq, Moetasim et al. "The influence of natural variability on extreme monsoons in Pakistan" 6, no. 1 (2023), https://doi.org/10.1038/s41612-023-00462-8 Ashfaq, Moetasim et al. "The influence of natural variability on extreme monsoons in Pakistan" vol. 6, no. 1, 2023, https://doi.org/10.1038/s41612-023-00462-8 Export RIS Citation Information.

:

Ashfaq, Moetasim

;

Johnson, Nathaniel

2023 | npj Climate and Atmospheric Science, 6(1)

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The monsoons in Pakistan have been exceptionally harsh in recent decades, resulting in extraordinary drought conditions and record flooding events. Th...
Seasonal-to-decadal variability and predictability of the Kuroshio Extension in the GFDL coupled ensemble reanalysis and forecasting system

CITE Title : Seasonal-to-decadal variability and predictability of the Kuroshio Extension in the GFDL coupled ensemble reanalysis and forecasting system Personal Author(s) : Joh, Youngji;Delworth, Thomas L.;Wittenberg, Andrew T.;Cooke, William F.;Yang, Xiaosong;Zeng, Fanrong;Jia, Liwei;Lu, Feiyu;Johnson, Nathaniel;Kapnick, Sarah B.;Rosati, Anthony;Zhang, Liping;McHugh, Colleen; Published Date : 2022 Source : Journal of Climate, 35(11), 3515-3535 DOI : https://doi.org/10.1175/JCLI-D-21-0471.1 Journal Title : Journal of Climate Joh, Youngji et al. (2022). Seasonal-to-decadal variability and predictability of the Kuroshio Extension in the GFDL coupled ensemble reanalysis and forecasting system. 35(11). https://doi.org/10.1175/JCLI-D-21-0471.1 Joh, Youngji et al. "Seasonal-to-decadal variability and predictability of the Kuroshio Extension in the GFDL coupled ensemble reanalysis and forecasting system" 35, no. 11 (2022), https://doi.org/10.1175/JCLI-D-21-0471.1 Joh, Youngji et al. "Seasonal-to-decadal variability and predictability of the Kuroshio Extension in the GFDL coupled ensemble reanalysis and forecasting system" vol. 35, no. 11, 2022, https://doi.org/10.1175/JCLI-D-21-0471.1 Export RIS Citation Information.

:

Joh, Youngji ;

Delworth, Thomas L.

2022 | Journal of Climate, 35(11), 3515-3535

:

The Kuroshio Extension (KE), an eastward-flowing jet located in the Pacific western boundary current system, exhibits prominent seasonal-to-decadal va...
SPEAR: The Next Generation GFDL Modeling System for Seasonal to Multidecadal Prediction and Projection

CITE Title : SPEAR: The Next Generation GFDL Modeling System for Seasonal to Multidecadal Prediction and Projection Personal Author(s) : Delworth, Thomas L.;Cooke, William F.;Adcroft, Alistair;Bushuk, Mitchell;Chen, Jan‐Huey;Dunne, Krista A.;Ginoux, Paul;Gudgel, Richard;Hallberg, Robert W.;Harris, Lucas;Harrison, Matthew J.;Johnson, Nathaniel;Kapnick, Sarah B.;Lin, Shian‐Jian;Lu, Feiyu;Malyshev, Sergey;Milly, Paul C.;Murakami, Hiroyuki;Naik, Vaishali;Pascale, Salvatore;Paynter, David;Rosati, Anthony;Schwarzkopf, M.D.;Shevliakova, Elena;Underwood, Seth;Wittenberg, Andrew T.;Xiang, Baoqiang;Yang, Xiaosong;Zeng, Fanrong;Zhang, Honghai;Zhang, Liping;Zhao, Ming; Published Date : 2020 Source : Journal of Advances in Modeling Earth Systems, 12(3) DOI : https://doi.org/10.1029/2019ms001895 Journal Title : Journal of Advances in Modeling Earth Systems Delworth, Thomas L. et al. (2020). SPEAR: The Next Generation GFDL Modeling System for Seasonal to Multidecadal Prediction and Projection. 12(3). https://doi.org/10.1029/2019ms001895 Delworth, Thomas L. et al. "SPEAR: The Next Generation GFDL Modeling System for Seasonal to Multidecadal Prediction and Projection" 12, no. 3 (2020), https://doi.org/10.1029/2019ms001895 Delworth, Thomas L. et al. "SPEAR: The Next Generation GFDL Modeling System for Seasonal to Multidecadal Prediction and Projection" vol. 12, no. 3, 2020, https://doi.org/10.1029/2019ms001895 Export RIS Citation Information.

:

Delworth, Thomas L.

;

Cooke, William F.

2020 | Journal of Advances in Modeling Earth Systems, 12(3)

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We document the development and simulation characteristics of the next generation modeling system for seasonal to decadal prediction and projection at...
Development of a Rapid Response Capability to Evaluate Causes of Extreme Temperature and Drought Events in the United States

CITE Title : Development of a Rapid Response Capability to Evaluate Causes of Extreme Temperature and Drought Events in the United States Personal Author(s) : Barsugli, Joseph J.;Easterling, David R.;Arndt, Derek S.;Coates, David A.;Delworth, Thomas L.;Hoerling, Martin P.;Johnson, Nathaniel;Kapnick, Sarah B.;Kumar, Arun;Kunkel, Kenneth E.;Schreck, Carl J.;Vose, Russell S.;Zhang, Tao; Published Date : 2022 Source : Bulletin of the American Meteorological Society, 103(3), S14-S20 DOI : https://doi.org/10.1175/BAMS-D-21-0237.1 Journal Title : Bulletin of the American Meteorological Society Barsugli, Joseph J. et al. (2022). Development of a Rapid Response Capability to Evaluate Causes of Extreme Temperature and Drought Events in the United States. 103(3). https://doi.org/10.1175/BAMS-D-21-0237.1 Barsugli, Joseph J. et al. "Development of a Rapid Response Capability to Evaluate Causes of Extreme Temperature and Drought Events in the United States" 103, no. 3 (2022), https://doi.org/10.1175/BAMS-D-21-0237.1 Barsugli, Joseph J. et al. "Development of a Rapid Response Capability to Evaluate Causes of Extreme Temperature and Drought Events in the United States" vol. 103, no. 3, 2022, https://doi.org/10.1175/BAMS-D-21-0237.1 Export RIS Citation Information.

:

Barsugli, Joseph J. ;

Easterling, David R.

2022 | Bulletin of the American Meteorological Society, 103(3), S14-S20

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In January 2021 work began on a NOAA Climate Pro-gram Office funded project “that develops and tests a potential rapid event analysis and assessment...
A Relative Sea Surface Temperature Index for Classifying ENSO Events in a Changing Climate

CITE Title : A Relative Sea Surface Temperature Index for Classifying ENSO Events in a Changing Climate Personal Author(s) : L’Heureux, Michelle L.;Tippett, Michael K.;Wheeler, Matthew C.;Nguyen, Hanh;Narsey, Sugata;Johnson, Nathaniel;Hu, Zeng-Zhen;Watkins, Andrew B.;Lucas, Chris;Ganter, Catherine;Becker, Emily;Wang, Wanqiu;Di Liberto, Tom; Published Date : 2024 Source : Journal of Climate, 37(4), 1197-1211 DOI : https://doi.org/10.1175/JCLI-D-23-0406.1 Journal Title : Journal of Climate L’Heureux, Michelle L. et al. (2024). A Relative Sea Surface Temperature Index for Classifying ENSO Events in a Changing Climate. 37(4). https://doi.org/10.1175/JCLI-D-23-0406.1 L’Heureux, Michelle L. et al. "A Relative Sea Surface Temperature Index for Classifying ENSO Events in a Changing Climate" 37, no. 4 (2024), https://doi.org/10.1175/JCLI-D-23-0406.1 L’Heureux, Michelle L. et al. "A Relative Sea Surface Temperature Index for Classifying ENSO Events in a Changing Climate" vol. 37, no. 4, 2024, https://doi.org/10.1175/JCLI-D-23-0406.1 Export RIS Citation Information.

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L’Heureux, Michelle L. ;

Tippett, Michael K.

2024 | Journal of Climate, 37(4), 1197-1211

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El Niño–Southern Oscillation (ENSO) is often characterized through the use of sea surface temperature (SST) departures from their climatological va...
Winter precipitation predictability in Central Southwest Asia and its representation in seasonal forecast systems

CITE Title : Winter precipitation predictability in Central Southwest Asia and its representation in seasonal forecast systems Personal Author(s) : Horan, Matthew F.;Kucharski, Fred;Johnson, Nathaniel;Ashfaq, Moetasim; Published Date : 2024 Source : npj Climate and Atmospheric Science, 7(1) DOI : https://doi.org/10.1038/s41612-024-00594-5 Journal Title : npj Climate and Atmospheric Science Horan, Matthew F. et al. (2024). Winter precipitation predictability in Central Southwest Asia and its representation in seasonal forecast systems. 7(1). https://doi.org/10.1038/s41612-024-00594-5 Horan, Matthew F. et al. "Winter precipitation predictability in Central Southwest Asia and its representation in seasonal forecast systems" 7, no. 1 (2024), https://doi.org/10.1038/s41612-024-00594-5 Horan, Matthew F. et al. "Winter precipitation predictability in Central Southwest Asia and its representation in seasonal forecast systems" vol. 7, no. 1, 2024, https://doi.org/10.1038/s41612-024-00594-5 Export RIS Citation Information.

:

Horan, Matthew F.

;

Kucharski, Fred

2024 | npj Climate and Atmospheric Science, 7(1)

:

In Central Southwest Asia (CSWA; 22°N to 40°N and 30°E to 70°E), winter (November to February) precipitation contributes up to 70% of the annual m...
NOAA Precipitation Prediction Grand Challenge Research and Applications Workshop Report

CITE Title : NOAA Precipitation Prediction Grand Challenge Research and Applications Workshop Report Personal Author(s) : Huang, Jin;Selz, Ginny;Olsen, Mark;Huang, Maoyi;Mahoney, Kelly;Johnson, Nathaniel;Easterling, David;Novak, Dave; Corporate Authors(s) : NOAA Precipitation Prediction Grand Challenge Research and Applications Workshop Organizing Committee Conference Author(s) : NOAA Precipitation Prediction Grand Challenge Research and Applications Workshop (2024) Published Date : 2025 DOI : https://doi.org/10.25923/m9x2-yz71 Huang, Jin et al. (2025). NOAA Precipitation Prediction Grand Challenge Research and Applications Workshop Report. https://doi.org/10.25923/m9x2-yz71 Huang, Jin et al. "NOAA Precipitation Prediction Grand Challenge Research and Applications Workshop Report" (2025), https://doi.org/10.25923/m9x2-yz71 Huang, Jin et al. "NOAA Precipitation Prediction Grand Challenge Research and Applications Workshop Report" , 2025, https://doi.org/10.25923/m9x2-yz71 Export RIS Citation Information.

:

Huang, Jin ;

Selz, Ginny

2025

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NOAA’s Research to Operations and Applications (R2X) enterprise is united to pursue a shared goal in support of NOAA’s Precipitation Prediction Gr...