Weather Research and Forecasting Innovation Act (

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

Narrow Results:

2022 1
2018 1
2016 2
2015 2

Journal Article 6

1 - 6 of 6 Results

Refine Results

Refine Results:

The History and Practice of AI in the Environmental Sciences

CITE Title : The History and Practice of AI in the Environmental Sciences Personal Author(s) : Haupt, Sue Ellen;Gagne, David John;Hsieh, William W.;Krasnopolsky, Vladimir;McGovern, Amy;Marzban, Caren;Moninger, William;Lakshmanan, Valliappa;Tissot, Philippe;Williams, John K.; Published Date : 2022 Source : Bulletin of the American Meteorological Society, 103(5), E1351-E1370 DOI : https://doi.org/10.1175/bams-d-20-0234.1 Journal Title : Bulletin of the American Meteorological Society Haupt, Sue Ellen et al. (2022). The History and Practice of AI in the Environmental Sciences. 103(5). https://doi.org/10.1175/bams-d-20-0234.1 Haupt, Sue Ellen et al. "The History and Practice of AI in the Environmental Sciences" 103, no. 5 (2022), https://doi.org/10.1175/bams-d-20-0234.1 Haupt, Sue Ellen et al. "The History and Practice of AI in the Environmental Sciences" vol. 103, no. 5, 2022, https://doi.org/10.1175/bams-d-20-0234.1 Export RIS Citation Information.

:

Haupt, Sue Ellen ;

Gagne, David John

2022 | Bulletin of the American Meteorological Society, 103(5), E1351-E1370

:

Artificial intelligence (AI) and machine learning (ML) have become important tools for environmental scientists and engineers, both in research and in...
An Automated, Multiparameter Dryline Identification Algorithm

CITE Title : An Automated, Multiparameter Dryline Identification Algorithm Personal Author(s) : Clark, Adam J.;MacKenzie, Andrew;McGovern, Amy;Lakshmanan, Valliappa;Brown, Rodger A.; Published Date : 2015 Source : Weather and Forecasting, 30(6), 1781-1794 DOI : https://doi.org/10.1175/waf-d-15-0070.1 Journal Title : Weather and Forecasting Clark, Adam J. et al. (2015). An Automated, Multiparameter Dryline Identification Algorithm. 30(6). https://doi.org/10.1175/waf-d-15-0070.1 Clark, Adam J. et al. "An Automated, Multiparameter Dryline Identification Algorithm" 30, no. 6 (2015), https://doi.org/10.1175/waf-d-15-0070.1 Clark, Adam J. et al. "An Automated, Multiparameter Dryline Identification Algorithm" vol. 30, no. 6, 2015, https://doi.org/10.1175/waf-d-15-0070.1 Export RIS Citation Information.

:

Clark, Adam J. ;

MacKenzie, Andrew

2015 | Weather and Forecasting, 30(6), 1781-1794

:

Moisture boundaries, or drylines, are common over the southern U.S. high plains and are one of the most important airmass boundaries for convective in...
Evaluation of Near Real-Time Preliminary Tornado Damage Paths

CITE Title : Evaluation of Near Real-Time Preliminary Tornado Damage Paths Personal Author(s) : Karstens, Christopher;Shourd, Kacie;Speheger, Doug;Anderson, Aaron;Smith, Richard;Andra, David;Smith, Travis;Lakshmanan, Valliappa;Erickson, Somer; Published Date : 2016 Source : J. Operational Meteor., 4(10), 132-141 DOI : https://doi.org/10.15191/nwajom.2016.0410 Journal Title : Journal of Operational Meteorology Karstens, Christopher et al. (2016). Evaluation of Near Real-Time Preliminary Tornado Damage Paths. 4(10). https://doi.org/10.15191/nwajom.2016.0410 Karstens, Christopher et al. "Evaluation of Near Real-Time Preliminary Tornado Damage Paths" 4, no. 10 (2016), https://doi.org/10.15191/nwajom.2016.0410 Karstens, Christopher et al. "Evaluation of Near Real-Time Preliminary Tornado Damage Paths" vol. 4, no. 10, 2016, https://doi.org/10.15191/nwajom.2016.0410 Export RIS Citation Information.

:

Karstens, Christopher ;

Shourd, Kacie

2016 | J. Operational Meteor., 4(10), 132-141

:

The ability to preliminarily diagnose areas damaged by a tornado is examined using both a manual and an automated approach. The manual method consists...
Improved Nowcasts by Blending Extrapolation and Model Forecasts

CITE Title : Improved Nowcasts by Blending Extrapolation and Model Forecasts Personal Author(s) : Hwang, Yunsung;Clark, Adam J.;Lakshmanan, Valliappa;Koch, Steven E.; Published Date : 2015 Source : Weather and Forecasting, 30(5), 1201-1217 DOI : https://doi.org/10.1175/WAF-D-15-0057.1 Journal Title : Weather and Forecasting Hwang, Yunsung et al. (2015). Improved Nowcasts by Blending Extrapolation and Model Forecasts. 30(5). https://doi.org/10.1175/WAF-D-15-0057.1 Hwang, Yunsung et al. "Improved Nowcasts by Blending Extrapolation and Model Forecasts" 30, no. 5 (2015), https://doi.org/10.1175/WAF-D-15-0057.1 Hwang, Yunsung et al. "Improved Nowcasts by Blending Extrapolation and Model Forecasts" vol. 30, no. 5, 2015, https://doi.org/10.1175/WAF-D-15-0057.1 Export RIS Citation Information.

:

Hwang, Yunsung ;

Clark, Adam J.

2015 | Weather and Forecasting, 30(5), 1201-1217

:

Planning and managing commercial airplane routes to avoid thunderstorms requires very skillful and frequently updated 0–8-h forecasts of convection....
Multi-Radar Multi-Sensor (MRMS) Severe Weather and Aviation Products: Initial Operating Capabilities

CITE Title : Multi-Radar Multi-Sensor (MRMS) Severe Weather and Aviation Products: Initial Operating Capabilities Personal Author(s) : Smith, Travis M.;Lakshmanan, Valliappa;Stumpf, Gregory J.;Ortega, Kiel L.;Hondl, Kurt;Cooper, Karen;Calhoun, Kristin M.;Kingfield, Darrel M.;Manross, Kevin L.;Toomey, Robert;Brogden, Jeff; Published Date : 2016 Source : Bulletin of the American Meteorological Society, 97(9), 1617-1630 DOI : https://doi.org/10.1175/BAMS-D-14-00173.1 Journal Title : Bulletin of the American Meteorological Society Smith, Travis M. et al. (2016). Multi-Radar Multi-Sensor (MRMS) Severe Weather and Aviation Products: Initial Operating Capabilities. 97(9). https://doi.org/10.1175/BAMS-D-14-00173.1 Smith, Travis M. et al. "Multi-Radar Multi-Sensor (MRMS) Severe Weather and Aviation Products: Initial Operating Capabilities" 97, no. 9 (2016), https://doi.org/10.1175/BAMS-D-14-00173.1 Smith, Travis M. et al. "Multi-Radar Multi-Sensor (MRMS) Severe Weather and Aviation Products: Initial Operating Capabilities" vol. 97, no. 9, 2016, https://doi.org/10.1175/BAMS-D-14-00173.1 Export RIS Citation Information.

:

Smith, Travis M. ;

Lakshmanan, Valliappa

2016 | Bulletin of the American Meteorological Society, 97(9), 1617-1630

:

The Multi-Radar Multi-Sensor (MRMS) system, which was developed at the National Severe Storms Laboratory and the University of Oklahoma, was made oper...
Unlocking the Potential of NEXRAD Data through NOAA’s Big Data Partnership

CITE Title : Unlocking the Potential of NEXRAD Data through NOAA’s Big Data Partnership Personal Author(s) : Ansari, Steve;Del Greco, Stephen;Kearns, Edward;Brown, Otis;Wilkins, Scott;Ramamurthy, Mohan;Weber, Jeff;May, Ryan;Sundwall, Jed;Layton, Jeff;Gold, Ariel;Pasch, Adam;Lakshmanan, Valliappa; Published Date : 2018 Source : Bulletin of the American Meteorological Society, 99(1), 189-204 DOI : https://doi.org/10.1175/BAMS-D-16-0021.1 Journal Title : Bulletin of the American Meteorological Society Ansari, Steve et al. (2018). Unlocking the Potential of NEXRAD Data through NOAA’s Big Data Partnership. 99(1). https://doi.org/10.1175/BAMS-D-16-0021.1 Ansari, Steve et al. "Unlocking the Potential of NEXRAD Data through NOAA’s Big Data Partnership" 99, no. 1 (2018), https://doi.org/10.1175/BAMS-D-16-0021.1 Ansari, Steve et al. "Unlocking the Potential of NEXRAD Data through NOAA’s Big Data Partnership" vol. 99, no. 1, 2018, https://doi.org/10.1175/BAMS-D-16-0021.1 Export RIS Citation Information.

:

Ansari, Steve ;

Del Greco, Stephen

2018 | Bulletin of the American Meteorological Society, 99(1), 189-204

:

The National Oceanic and Atmospheric Administration’s (NOAA) Big Data Partnership (BDP) was established in April 2015 through cooperative research a...