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:

2018 1
2016 2

Journal Article 3

Forecasting 1
Precipitation 1

1 - 3 of 3 Results

Refine Results

Refine Results:

Accelerating assimilation development for new observing systems using EFSO

CITE Title : Accelerating assimilation development for new observing systems using EFSO Personal Author(s) : Lien, Guo-Yuan;Hotta, Daisuke;Kalnay, Eugenia;Miyoshi, Takemasa;Chen, Tse-Chun; Published Date : 2018 Source : Nonlinear Processes in Geophysics, 25, 129–143 DOI : https://doi.org/10.5194/npg-25-129-2018 Journal Title : Nonlinear Processes in Geophysics Lien, Guo-Yuan et al. (2018). Accelerating assimilation development for new observing systems using EFSO. 25https://doi.org/10.5194/npg-25-129-2018 Lien, Guo-Yuan et al. "Accelerating assimilation development for new observing systems using EFSO" 25 (2018), https://doi.org/10.5194/npg-25-129-2018 Lien, Guo-Yuan et al. "Accelerating assimilation development for new observing systems using EFSO" vol. 25, 2018, https://doi.org/10.5194/npg-25-129-2018 Export RIS Citation Information.

:

Lien, Guo-Yuan

;

Hotta, Daisuke

2018 | Nonlinear Processes in Geophysics, 25, 129–143

:

To successfully assimilate data from a new observing system, it is necessary to develop appropriate data selection strategies, assimilating only the g...
Assimilation of TRMM Multisatellite Precipitation Analysis with a Low-Resolution NCEP Global Forecast System

CITE Title : Assimilation of TRMM Multisatellite Precipitation Analysis with a Low-Resolution NCEP Global Forecast System Personal Author(s) : Lien, Guo-Yuan;Miyoshi, Takemasa;Kalnay, Eugenia; Published Date : 2016 Source : Monthly Weather Review, 144(2), 643-661 DOI : https://doi.org/10.1175/mwr-d-15-0149.1 Journal Title : Monthly Weather Review Lien, Guo-Yuan et al. (2016). Assimilation of TRMM Multisatellite Precipitation Analysis with a Low-Resolution NCEP Global Forecast System. 144(2). https://doi.org/10.1175/mwr-d-15-0149.1 Lien, Guo-Yuan and Miyoshi, Takemasa and Kalnay, Eugenia "Assimilation of TRMM Multisatellite Precipitation Analysis with a Low-Resolution NCEP Global Forecast System" 144, no. 2 (2016), https://doi.org/10.1175/mwr-d-15-0149.1 Lien, Guo-Yuan et al. "Assimilation of TRMM Multisatellite Precipitation Analysis with a Low-Resolution NCEP Global Forecast System" vol. 144, no. 2, 2016, https://doi.org/10.1175/mwr-d-15-0149.1 Export RIS Citation Information.

:

Lien, Guo-Yuan ;

Miyoshi, Takemasa

2016 | Monthly Weather Review, 144(2), 643-661

:

Current methods of assimilation of precipitation into numerical weather prediction models are able to make the model precipitation become similar to t...
Statistical Properties of Global Precipitation in the NCEP GFS Model and TMPA Observations for Data Assimilation

CITE Title : Statistical Properties of Global Precipitation in the NCEP GFS Model and TMPA Observations for Data Assimilation Personal Author(s) : Lien, Guo-Yuan;Kalnay, Eugenia;Miyoshi, Takemasa;Huffman, George J.; Published Date : 2016 Source : Monthly Weather Review, 144(2), 663-679 DOI : https://doi.org/10.1175/mwr-d-15-0150.1 Journal Title : Monthly Weather Review Lien, Guo-Yuan et al. (2016). Statistical Properties of Global Precipitation in the NCEP GFS Model and TMPA Observations for Data Assimilation. 144(2). https://doi.org/10.1175/mwr-d-15-0150.1 Lien, Guo-Yuan et al. "Statistical Properties of Global Precipitation in the NCEP GFS Model and TMPA Observations for Data Assimilation" 144, no. 2 (2016), https://doi.org/10.1175/mwr-d-15-0150.1 Lien, Guo-Yuan et al. "Statistical Properties of Global Precipitation in the NCEP GFS Model and TMPA Observations for Data Assimilation" vol. 144, no. 2, 2016, https://doi.org/10.1175/mwr-d-15-0150.1 Export RIS Citation Information.

:

Lien, Guo-Yuan ;

Kalnay, Eugenia

2016 | Monthly Weather Review, 144(2), 663-679

:

Assimilation of satellite precipitation data into numerical models presents several difficulties, with two of the most important being the non-Gaussia...