GCOS Implementation Plan - WMO
GCOS Implementation Plan - WMO
GCOS Implementation Plan - WMO
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<strong>Implementation</strong> <strong>Plan</strong> for the Global Observing System for Climate in Support of the UNFCCC<br />
(2010 Update)<br />
Network or System International Data Centres and Archives Coordinating Body<br />
<strong>WMO</strong> GAW <strong>GCOS</strong> Global<br />
Baseline Profile Ozone<br />
Network, <strong>WMO</strong> GAW<br />
<strong>GCOS</strong> Global Baseline<br />
Total Ozone Network,<br />
NDACC<br />
Aerosols and Precursors:<br />
AERONET<br />
GAW baseline network<br />
GALION<br />
World Ozone and Ultraviolet Radiation Data Centre (WOUDC)<br />
(European Commission)<br />
Network for the Detection of Stratospheric Change (NDSC) Archive<br />
Norwegian Institute for Air Research<br />
Southern Hemisphere Additional Ozonesondes (SHADOZ – NASA)<br />
Archive<br />
World Data Centre for Aerosols (NILU)<br />
<strong>WMO</strong> CAS<br />
<strong>WMO</strong> CAS<br />
Open access to both in situ and satellite data is a key aspect of quality assurance, and further work is<br />
required to ensure that these data and associated metadata are available in standardised formats for<br />
analysis by all interested groups.<br />
Cross-cutting data management Actions C18, C19, C20 and C21 are especially applicable in this<br />
regard.<br />
4.5. Atmospheric Domain – Integrated Global Analysis Products<br />
Although single-source data from networks or satellites contributing to <strong>GCOS</strong> can be used as<br />
indicators of the state of the global climate system, more comprehensive analyses often depend upon<br />
combining data from different sources. In particular, satellite data providing global coverage integrated<br />
with in situ observations can remove biases and ensure consistency over land and ocean. An<br />
example is the difficulty in obtaining unbiased estimates of global precipitation due to the relative lack<br />
of in situ precipitation observations over the oceans.<br />
Reanalysis provides a particular means to generate a range of integrated global products in the<br />
atmospheric domain, particularly for the upper atmosphere where a wide variety of in situ and satellite<br />
data can be used to produce very detailed analyses. Comprehensive reanalyses of the meteorological<br />
ECVs have been undertaken by the European Centre for Medium-Range Weather Forecasts<br />
(ECMWF), the Japan Meteorological Agency (JMA), the US National Centers for Environmental<br />
Prediction (NCEP), and the NASA Global Modeling and Assimilation Office (GMAO). Input data for<br />
reanalysis have been assembled by the reanalysis community with the assistance of the archive,<br />
monitoring and research community. Establishing formal cooperative arrangements between the<br />
centres in Europe, USA and Japan that carry out global reanalyses would allow each successive<br />
reanalysis to build more completely on the datasets and results of the previous ones.<br />
Actions in section 4.3 have addressed the need to monitor the detailed regional and temporal<br />
distribution of the atmospheric concentrations of GHGs and aerosols, especially over the continents.<br />
In addition, research on global data assimilation methods is needed to achieve optimal global<br />
analyses of the ECVs and estimates of sources and sinks, especially of carbon dioxide and methane.<br />
Actions C10, C11 and C12 in section 3.5 on the preparation of datasets for reanalysis and on<br />
sustaining analysis systems must encompass the atmospheric composition ECVs. Data assimilation<br />
for atmospheric composition variables is far less mature than for the meteorological variables, but<br />
significant progress has been made in Europe in the development of atmospheric services under the<br />
auspices of the Global Monitoring for Environment and Security (GMES) initiative. There is a need for<br />
observational data for atmospheric composition ECVs to be assembled as input data for reanalysis<br />
and for evaluating climate models (see Actions C10 and C11).<br />
4.6. Atmospheric Domain – Scientific and Technological Challenges<br />
While there are well-established techniques for monitoring and analyzing most of the atmospheric<br />
ECVs, for many there remain outstanding issues requiring research. These include:<br />
• Characterisation of the three-dimensional spatial and temporal distribution of cloud properties,<br />
and the relationship with moisture and wind fields;<br />
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