# Presentation: 923754

## An Overview of New and Future Developments with the NCEP Climate Forecast System

**SURANJANA SAHA and HUA-LU PAN**
**Environmental Modeling Center**
**NCEP/NWS/NOAA**
**21****st****  Annual Climate Diagnostics and Prediction Workshop**
**Boulder, CO**
**23 October 2006**

## The NCEP Climate Forecast was made operational in      August 2004

**The NCEP Climate Forecast was made operational in      August 2004**
** ****Currently, two fully-coupled nine-month forecasts are made every day**
** ****The present CFS operational system is frozen**
** ****Development work is underway at EMC to improve the CFS**
**We anticipate a new CFS implementation will take in January 2010**

## Two main components:

**For a new CFS implementation**** **
**Two main components:**
**CFS Reanalysis (1979-2007) T254L64**
**CFS Retrospective Forecasts (1981-2007) T126L64**

## For a new CFS implementation (contd)

**For a new CFS implementation (contd)**
**Analysis Systems :****	****GSI, GODAS, GLDAS**
**Atmospheric Model :****	****GFS**
**Ocean Model :****	****	****MOM4 (1/4****0 ****at the ****	****	****	****	****	****Equator, 1/2****0 ****at globally ****	****	****	****	****	****beyond 10****0****N and 10****0****S**
**	****	****	****	****	****SEA ICE MODEL**

## Proposed Time-Line for the next CFS implementation in January 2010

**October 2006**
- In anticipation of the operational implementation of the sigma-p version of the GSI in February 2007, start testing this version for a few particular years in the 1979-2006 period, where changes in satellites will lead to new corrections in radiance measurements.
- Run the GSI for a few random years and save the fluxes.
- (Saha, Treadon, van Delst, Derber, Kliest, Woollen, Pan, Kistler, White)

## Proposed Time-Line for the next CFS implementation in January 2010

**June 2007**
- In anticipation of the ESMF version of the coupler and MOM4, start testing the new GODAS (with MOM4 and sea ice) and GLDAS (with Noah Land model and observed precipitation) with fluxes obtained from atmospheric GSI analyses of the few random years.
- (Behringer, Mitchell, Sheinin, Wang, Wu, Nadiga, Stokes, Pan, Moorthi, Grumbine, Saha, Meng, Wei)

## Proposed Time-Line for the next CFS implementation in January 2010

**August 2007**
- In anticipation of the operational implementation of the next GFS, start pilot studies with the first “prototype” of the fully coupled CFS reanalysis, which will include the GSI (with new GFS), GODAS and GLDAS.
- (Saha, Pan, Iredell, Moorthi, Derber, Behringer, Mitchell, Meng, Yang, Treadon, Sheinin, Woollen, Kistler)

## Proposed Time-Line for the next CFS implementation in January 2010

**January 2008**
- Begin Production and Evaluation of the CFS Reanalysis for the full period from 1979 to 2007 (29 years)
- Reanalysis Team: Saha, Thiaw, Wang, Nadiga, Wu, Lu.
- Evaluation Team: EMC and CPC Personnel

## Proposed Time-Line for the next CFS implementation in January 2010

**July 2008**
- Begin running CFS Retrospective Forecasts for 2 initial months: October and April, and evaluate the monthly forecasts as well as the seasonal Lead-1 DJF and JJA forecasts.
- Hindcast Team: Saha, Thiaw, Wang, Nadiga, Wu, Lu
- Evaluation Team: EMC and CPC Personnel

## Proposed Time-Line for the next CFS implementation in January 2010

**January 2009**
- Operational Implementation of the CFS Reforecast Project (for the rest of the 10 calendar months) in the proposed slot of REFCST in the NCEP production suite.
- (NCO personnel, Saha, Moorthi, Pan and Thiaw)

## January 2010: Operational implementation of the next CFS monthly and seasonal forecast

**November 2009**
- Begin computing calibration statistics for CFS daily, monthly and seasonal forecasts. Prepare CFS Reanalysis and Retrospective Forecast data for public distribution.
- (Saha, Thiaw, Pan and CPC personnel)
**January 2010: Operational implementation of the next CFS monthly and seasonal forecast**

## NOAH Land Model : 4 soil levels. Improved treatment of snow and frozen soil and glacial physics

**Sea Ice Model : Prediction of ice concentration and ice fraction**
**Sub grid scale mountain blocking **
**Reduced vertical diffusion**

**CURRENT OPERATIONAL VERSION OF THE GFS (USED FOR WEATHER PREDICTION)**
**UPGRADES TO THE CFS VERSION**

## RRTM long wave radiation (clouds are maximum random, which leads to reduced cloud cover)

**ESMF Version**
**NRL Based Ozone Climatology for Production and destruction**

**CURRENT OPERATIONAL VERSION OF THE GFS (USED FOR WEATHER PREDICTION)**
**UPGRADES TO THE CFS VERSION**

## Ongoing GFS Developmental work 

**Test the generalized vertical coordinate system with a combination of sigma, theta and pressure levels**
**Test new convection scheme (RAS)**
**Test upgrades to operational convection scheme (SAS)**
**Test Moorthi-Ferrier microphysics package for large scale condensation**
**Test improved boundary layer physics**
**Test convectively forced gravity wave drag**

## Other Ongoing CFS Developmental work 

**Test the new Grid Point Statistical Interpolation Scheme (GSI)**
**Test historical settings of CO****2****, aerosol and solar cycle in the CFS**
**Test the new MPI level coupling of GFS to MOM4**

## GSI – NCEP’s Next Generation Analysis System

- John Derber1, Lidia Cucurull2, Daryl Kleist3, Xu Li3, Curtis Marshall3, Dave Parrish1, Manuel Pondeca3, Jim Purser3, Russ Treadon1, Paul vanDelst2, Wan-Shu Wu1
- 1 NOAA/NWS/NCEP/EMC, 2 UCAR, 3 SAIC

**Courtesy : Russ Treadon, EMC**

## Assimilated data types

- All data types currently assimilated by SSI may also be assimilated by GSI
- Sondes, ship reports, surface stations, aircraft data, profilers, etc
- Cloud drift and water vapor winds
- TOVS, ATOVS, AQUA, and GOES sounder brightness temperatures
- SBUV ozone profiles and total ozone
- SSM/I and QuikScat surface winds
- SSM/I and TMI rain rates

**Courtesy : Russ Treadon, EMC**

## GSI development: Analysis variables

- SST analysis
- Physical retrieval from AVHRR Tb data
- Option to add / assimilate in-situ SST data

- Slight, but consistent
- reduction in rms and
- bias fits to independent
- buoy SST data

- rms

- bias

**Courtesy : Russ Treadon, EMC**

## GSI development: New radiance data

- Aqua AIRS/AMSU-A
- Operational as of 12 UTC, 31 May 2005
- Future improvements
- Examine all FOVs to determine warmest spots
- Use MODIS data for cloud detection
- SSM/I
- Use of Tb data reduces model moisture bias
- Forward model for emissivity includes effects of surface winds
- Assimilation of SSM/I Tb data can affect surface winds
- Could (should) turn off assimilate of SSM/I wind product

**Courtesy : Russ Treadon, EMC**

## GSI development: New radiance data

- NOAA – N (18) Summer 2005
- HIRS, AMSU-A, MHS
- Code ready and waiting for data to evaluate
- SSM/IS
- QC and bias correction difficulties because FOVs not collocated
- AMSR-E (NASA)
- Beginning tests with radiative transfer model
- AVHRR and GOES imagery
- Testing underway

**Courtesy : Russ Treadon, EMC**

## GSI development: GPS radio occultation

- Preparation for COSMIC well advanced
- Code for assimilating local refractivities done and being tested
- Adding code to handle local bending angle underway
- QC issues
- Tracking errors
- Caused by complicated refractivity structure in moist lower troposphere
- Super-refraction
- Occurs on sharp top of moist PBL

**Courtesy : Russ Treadon, EMC**

## Code being developed to handle radar radial velocities
Currently working on data processing, quality control, and superobs issues
Longer term project is to make use of radar reflectivities
Currently working on quality control issues
Bird migration, ground clutter, anomalous propagation, etc

- Currently working on data processing, quality control, and superobs issues
- Longer term project is to make use of radar reflectivities
- Currently working on quality control issues
- Bird migration, ground clutter, anomalous propagation, etc

**Courtesy : Russ Treadon, EMC**

**GSI development: Doppler Radar**

## Proto-type CRTM with modular design
Simplifies user interaction with code
Permits easier evaluation of various algorithms
Soon will include 
Algorithms to handle scattering and absorption from clouds for microwave channels 

- Simplifies user interaction with code
- Permits easier evaluation of various algorithms
- Soon will include
- Algorithms to handle scattering and absorption from clouds for microwave channels

**Courtesy : Russ Treadon, EMC**

**GSI development: CRTM development**

## Observation influence extends into mountains indiscriminately

- Anisotropic vs Isotropic Error Covariances

- Observation influence restricted to areas of similar elevation

- Error Correlations Plotted Over Utah Topography

**Courtesy : Russ Treadon, EMC**

## INTRODUCTION TO POSTERS

## Examples of Subseasonal Forecasting with the CFS: The Sahel

**Forecast skill for Cumulative Precipitation over the Sahel**

**Augustin Vintzileos** and **Wassila Thiaw**

## Examples of Subseasonal Forecasting with the CFS: The Sahel

**Observed precipitation over the western Sahel for 2006 (Xie)**

**Real Time 30-day Forecasts: good vs. bad prediction**

**2006 Precipitation (blue)**

**Mean annual Precipitation (red)**

**Observed**

**Forecast**

**Observed**

**Forecast**

- The 2006 monsoon period over the Sahel started drier than average. Circa July 16th, there was a sudden jump towards persistent wetter conditions and finally the 2006 monsoon season was a good one. We discuss the ability of the CFS to forecast these conditions at subseasonal lead times on the Poster Session **P1.12** on **Tuesday**.

## Methodology

**A Fourier series  **
**is fitted to the raw 24-yr average data y(t****j****) which are available at 180 irregularily spaced days in a 365 day year [ T = 365 days ].**
**The method of least squares is used, i.e., minimization of**
**gives the Fourier Coefficients.**
**The climatology is defined by considering 4 harmonics, i.e.,**
**in accordance with NCEP practice, Schemm et al. 1998. There is**
**a risk of:  Overfitting    –  Noise included in the climatology**
**                 ****Underfitting  –  Not all of the true climatology is included in the**
**                                            ****calculated climatology**

**CFS Retrospective Forecast Daily Climatology in the EMC/NCEP NOMAD public server **
**Åke Johansson, Catherine Thiaw and Suranjana Saha**,
- Environmental Modeling Center, NCEP/NWS/NOAA

## 2m Temperature

**Winter-time**
**Warming**
**of ~ 2-3 oC**

**1 month**
**lead**

**8 month**
**lead**

**Winter-time**
**Variability**
**reduced by 15%**

**MEAN**

**     ****SD**

**CFS Retrospective Forecast Daily Climatology in the EMC/NCEP NOMAD public server **
**Åke Johansson, Catherine Thiaw and Suranjana Saha**,
- Environmental Modeling Center, NCEP/NWS/NOAA

**2m Temperature**
**Washington**

## NCEP REGIONAL CLIMATE FORECAST BY NCEP RSM MODEL

-  Regional climate models have been used in dynamic downscaling for the seasonal climate forecasts and regional climate change assessment in the past decade and demonstrated capability in regenerate seasonal mean climate and inter-annual variability.
-   NCEP Regional Spectral Model (RSM) nested in Global Forecast System (GFS) has been implemented for CONUS regional climate prediction. A 20 year 3 member ensemble hindcast using sst forecasted from CFS was conducted to explore the capability of NCEP RSM model on seasonal forecast.

***Jun Wang and Henry Juang, P1.19  ***
***9:20-10:50AM, Tuesday, 10/24/2006***

## Jun Wang and Henry Juang, P1.19  

***Jun Wang and Henry Juang, P1.19  ***
***9:20-10:50AM, Tuesday, 10/24/2006***