Advances in Meteorology

Data Assimilation in Numerical Weather and Climate Models


Publishing date
08 May 2015
Status
Published
Submission deadline
19 Dec 2014

Lead Editor

1NOAA, Princeton, USA

2State Oceanic Administration, Tianjin, China

3NOAA, Boulder, USA

4University of Buenos Aires, Buenos Aires City, Argentina


Data Assimilation in Numerical Weather and Climate Models

Description

While weather-climate modeling has improved steadily during the past decades, modeling community is still struggling with biases in both the time mean features and those associated with the variability, ranging in the mesoscale to decadal scales. Weather-climate analysis and prediction initialization require incorporation of a numerical model and the observing system through a data assimilation approach. Data assimilation uses model dynamics and physics to extract observational information from measured data scattered in time and space, pursuing balanced and coherent state analysis and estimation. While data assimilation provides initial conditions for weather-climate predictions, the reconstructed continuous time series of weather and climate variables with three-dimensional structures serve as a basis for one to further understand the mechanisms of weather-climate development. Nowadays, various data assimilation methods and observing system assessment have been developed for the need of analyzing and predicting the phenomena that have different spatial and temporal scales, and a wide scope of studies is ongoing on assimilation methods as well as impacts on model predictability and numerical predictions.

In this special issue, we call for papers that deal with recent advances in data assimilation methods, weather-climate analysis and prediction, observing system assessment, and model bias correction as well as model parameter optimization.

Potential topics include, but are not limited to:

  • Development, implementation, and validation of data assimilation methods
  • Model predictability and numerical weather-climate predictions
  • Tropical cyclone forecast initialization
  • Multiscale data assimilation applying to coupled data assimilation as well as high resolution data assimilation
  • Assimilation of satellite and radar data
  • Coupled data assimilation, ocean data assimilation, and sea ice data assimilation
  • Land data assimilation and data assimilation in ecosystem
  • Decadal predictability, prediction, and long-term projection
  • Observing system assessment

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 907313
  • - Research Article

Statistical Prediction of the South China Sea Surface Height Anomaly

Caixia Shao | Weimin Zhang | ... | Zhimin Wang
  • Special Issue
  • - Volume 2015
  • - Article ID 753031
  • - Research Article

Some Aspects of Sensitivity Analysis in Variational Data Assimilation for Coupled Dynamical Systems

Sergei Soldatenko | Peter Steinle | ... | Denis Chichkine
  • Special Issue
  • - Volume 2015
  • - Article ID 269859
  • - Research Article

Low-Frequency Variability of the Yellow Sea Cold Water Mass Identified from the China Coastal Waters and Adjacent Seas Reanalysis

Xuewei Li | Xidong Wang | ... | Dongliang Zhao
  • Special Issue
  • - Volume 2015
  • - Article ID 751404
  • - Research Article

Diffusion Filters for Variational Data Assimilation of Sea Surface Temperature in an Intermediate Climate Model

Xuefeng Zhang | Dong Li | ... | Wei Li
  • Special Issue
  • - Volume 2015
  • - Article ID 626893
  • - Editorial

Data Assimilation in Numerical Weather and Climate Models

Shaoqing Zhang | Guijun Han | ... | Juan Jose Ruiz
  • Special Issue
  • - Volume 2015
  • - Article ID 427616
  • - Research Article

Using Adjoint-Based Forecast Sensitivity Method to Evaluate TAMDAR Data Impacts on Regional Forecasts

Xiaoyan Zhang | Hongli Wang | ... | Neil A. Jacobs
  • Special Issue
  • - Volume 2015
  • - Article ID 460243
  • - Research Article

Prediction of Moderate and Heavy Rainfall in New Zealand Using Data Assimilation and Ensemble

Yang Yang | Phillip Andrews | ... | Mike Revell
  • Special Issue
  • - Volume 2015
  • - Article ID 752947
  • - Research Article

Upper Ocean Thermal Responses to Sea Spray Mediated Turbulent Fluxes during Typhoon Passage

Lianxin Zhang | Changlong Guan | ... | Shaomei Yu
  • Special Issue
  • - Volume 2015
  • - Article ID 956920
  • - Research Article

An Assessment of Data from the Advanced Technology Microwave Sounder at the Met Office

Amy Doherty | Nigel Atkinson | ... | Andrew Smith
  • Special Issue
  • - Volume 2015
  • - Article ID 793825
  • - Research Article

Impact of Argo Observation on the Regional Ocean Reanalysis of China Coastal Waters and Adjacent Seas: A Twin-Experiment Study

Caixia Shao | Lili Xuan | ... | Siyu Gao
Advances in Meteorology
 Journal metrics
Acceptance rate37%
Submission to final decision118 days
Acceptance to publication49 days
CiteScore2.600
Impact Factor1.491
 Submit

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.