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:

2024 1
2017 1

Journal Article 2

1 - 2 of 2 Results

Refine Results

Refine Results:

An investigation of microphysics and sub-grid scale variability in warm rain clouds using the A-train observations and a multi-scale modeling framework

CITE Title : An investigation of microphysics and sub-grid scale variability in warm rain clouds using the A-train observations and a multi-scale modeling framework Personal Author(s) : Takahashi, Hanii;Lebsock, Matthew;Suzuki, Kentaroh;Stephens, Graeme;Wang, Minghuai; Published Date : 2017 Source : J. Geophys. Res. Atmos., 122, 7493– 7504 DOI : https://doi.org/10.1002/2016JD026404 Journal Title : Journal of Geophysical Research: Atmospheres Takahashi, Hanii et al. (2017). An investigation of microphysics and sub-grid scale variability in warm rain clouds using the A-train observations and a multi-scale modeling framework. 122(14). https://doi.org/10.1002/2016JD026404 Takahashi, Hanii et al. "An investigation of microphysics and sub-grid scale variability in warm rain clouds using the A-train observations and a multi-scale modeling framework" 122, no. 14 (2017), https://doi.org/10.1002/2016JD026404 Takahashi, Hanii et al. "An investigation of microphysics and sub-grid scale variability in warm rain clouds using the A-train observations and a multi-scale modeling framework" vol. 122, no. 14, 2017, https://doi.org/10.1002/2016JD026404 Export RIS Citation Information.

:

Takahashi, Hanii

;

Lebsock, Matthew

2017 | J. Geophys. Res. Atmos., 122, 7493– 7504

:

A common problem in climate models is that they are likely to produce rain at a faster rate than is observed and therefore produce too much light rain...
A multiscale assessment of the springtime U.S. mesoscale convective systems in the NOAA GFDL AM4

CITE Title : A multiscale assessment of the springtime U.S. mesoscale convective systems in the NOAA GFDL AM4 Personal Author(s) : You, Zhenyu;Deng, Yi;Ming, Yi;Dong, Wenhao; Published Date : 2024 Source : Climate Dynamics (2024) 62:4017–4030 DOI : https://doi.org/10.1007/s00382-024-07114-4 Journal Title : Climate Dynamics You, Zhenyu et al. (2024). A multiscale assessment of the springtime U.S. mesoscale convective systems in the NOAA GFDL AM4. 62https://doi.org/10.1007/s00382-024-07114-4 You, Zhenyu et al. "A multiscale assessment of the springtime U.S. mesoscale convective systems in the NOAA GFDL AM4" 62 (2024), https://doi.org/10.1007/s00382-024-07114-4 You, Zhenyu et al. "A multiscale assessment of the springtime U.S. mesoscale convective systems in the NOAA GFDL AM4" vol. 62, 2024, https://doi.org/10.1007/s00382-024-07114-4 Export RIS Citation Information.

:

You, Zhenyu ;

Deng, Yi

2024 | Climate Dynamics (2024) 62:4017–4030

:

This study presents a multiscale assessment of the springtime U.S. Mesoscale Convective Systems (MCSs) in the NOAA Geophysical Fluid Dynamics Laborato...