# Presentation: 357486

## The GODAE High Resolution SST Reanalysis ProjectKenneth S. CaseyNOAA National Oceanographic Data Center, USACraig DonlonGHRSST-PP International Project Office, Met Office, UKThe GODAE Symposium on Ocean Data Assimilation and Prediction in Asia-Oceania

**Notes:**
The GODAE High Resolution SST Reanalysis Project

Kenneth S. Casey, NOAA National Oceanographic Data Center, USA
Craig Donlon, GHRST-PP International Project Office, Met Office, UK	

The Global Ocean Data Assimilation Experiment (GODAE) High Resolution Sea Surface Temperature Pilot Project (GHRSST-PP) is an operational demonstration system for delivering a new generation of multi-sensor, high-resolution sea surface temperature (SST) products in real time and delayed mode.  It was formed in 2000 by the International GODAE Steering Team to meet the diverse needs of the GODAE community by bringing international SST research and operational efforts into a cooperative framework, but has since grown to serve a much broader range of users and applications. In addition to its provision of real time operational products, the GHRSST system will deliver an SST climate data record (CDR) though a rigorous reanalysis project. This effort is overseen by the international GHRSST-PP Science Team Reanalysis Technical Advisory Group and is based at the GHRSST Long Term Stewardship and Reanalysis Facility at the US National Oceanographic Data Center, where all of the individual GHRSST data streams are archived.  Based on user feedback and consensus of the Science Team, the goals of GHRSST Reanalysis are to produce a daily, global L4 analysis product with quantified uncertainties and diurnal variability estimates.  The global product is expected to have a spatial resolution of approximately 5-10 km, will conform to the GHRSST L4 data and metadata format specification, and will strive to achieve the ambitious temporal stability requirement of 0.01 K/decade. These reanalysis products are expected to extend initially back to the start of the microwave SST data in 1997, then back to the beginning of the (A)ATSR series in 1992, and eventually back to the beginning of the satellite SST period with the start of the 5-channel AVHRR series in late 1981. The reanalysis system is expected to make key improvements over the near real time L4 products and will apply consistent procedures to the entire time series in accordance with the Global Climate Observing System climate monitoring principles.

## Regional/Global Task Sharing

**NOAA NODC**

## Stewardship and Reanalysis

**US NOAA National Oceanographic Data Center**

## Stewardship and Reanalysis

**http://ghrsst.nodc.noaa.gov**

## Current Status

**Stewardship capability established at US NODC**
- Automatic daily acquisition and archive from GDAC
- 30-day delay from observation to archive
- All available online FTP, HTTP, and OPeNDAP
- All data searchable via NODC Ocean Archive System - http://www.nodc.noaa.gov/cgi-bin/search/prod/accessionsView.pl/pref
- Extensive metadata
**Current Archive Holdings**
- 1 TB (~20 TB uncompressed) spanning 2005 and 2006
- 7583 accessions (RDAC/Sensor/Level/Date), ~100k files
- AMSR-E, AVHRR-16, AVHRR-17,  AVHRR-18 (GAC and LAC/HRPT) , MODIS Aqua, SEVIRI, AATSR, TMI
- Coming Soon: MODIS Terra and GOES

## Current Status

**Data rates graphic...**

## Current Status

**Data rates graphic...**

## Current Status

**Data rates graphic...**

## GHRSST Reanalysis System Map

- GDAC

- Delayed Mode Data

- Reanalysis SST CDRs (L4)

- LTSRF at NODC

- Reanalysis
- Community

**GHRSST Reanalysis System Map**

## Goals of GHRSST Reanalysis

**Create delayed mode *****climate data records***** with higher accuracy and consistency**
**Link to longer term climate data**
**Enable a *****sustained***** reprocessing capability**
**Adhere to the GCOS Climate Monitoring Principles**
** **

## Delayed-Mode Improvements

**Reanalysis can improve over near real time analysis by making use of:**
**Late-arriving data**
**Reprocessed L2P data**
**Improved matchups, errors statistics, analysis procedures, diurnal models**
**Techniques which require data from “future” observations**
**Procedures too demanding for near real time production**
**Consistent procedures for entire time series**
** **

## RAN Technical Advisory Group

**Ken Casey, Chair**
**Ed Armstrong**
**Jorge Vazquez**
**Craig Donlon**
**Hiroshi Kawamura**
**Gilles Larnicol**
**David Llewellyn-Jones**

**Nick Rayner**
**Gary Wick**
**Dick Reynolds**
**Bill Emery**
**Jo Murray**
**Gary Corlett**
**Helen Beggs**

## Reanalysis Product Specifications

**Spatial: Global 5-10km**
**Temporal: Once per day**
**Type of SST: SST****fnd**
**Error Stats: Bias and Standard Deviation**
**Format: L4 netCDF with CF metadata**

***(Modified from A. Stuart-Menteth)***

## Ensemble Approach Schematic

**GEO Task**
**DA-06-03**

## New Reynolds Daily OI

**Example Analyses**

**Dick Reynolds**
**NOAA NCDC**

## Example Analyses

**Met Office OSTIA **

**Craig Donlon**
**Met Office, UK**

## Example Analyses

**Met Office OSTIA **

**Craig Donlon**
**Met Office, UK**

**Latest Analysis!**

## Example Analyses

**Met Office OSTIA **

**Craig Donlon**
**Met Office, UK**

**Latest Analysis!**

## Example Analyses

**Example Analyses**

**Craig Donlon**
**Met Office, UK**

**Latest Analysis!**

## Example Analyses

**Australian Bureau of Meteorology**

**BoM Operational Regional SST1m**

**Met Office Global OSTIA SSTfnd **

**BoM Test Regional SSTfnd**

**CMAR 3 Day AVHRR SST1m**

**Helen Beggs, Australian BoM**

**Notes:**
Slide adapted from Helen Beggs, ABOM

## Ongoing and Future Activities 

**Now that archive and stewardship functions are in place, focus on reanalysis efforts (the *****RF***** in *****LTSRF*****)**
**Clearly identifying (and encouraging) L2P reprocessing efforts **
**GCOS SST and SI Intercomparisons: collecting data, unified access**
**1st GHRSST Reanalysis and ensembles**

**Thank-you!**
**Kenneth.Casey@noaa.gov**
**http://ghrsst.nodc.noaa.gov**