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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 />

ECV<br />

Contributing<br />

Network(s)<br />

Status<br />

Contributing<br />

Satellite Data<br />

Status<br />

Above<br />

ground<br />

Biomass<br />

FAO’s FRA; FLUXNET;<br />

No global data centre for<br />

non-forest biomass.<br />

No designated baseline<br />

network exists;<br />

FRA data not currently<br />

applicable for highresolution<br />

spatial<br />

analysis.<br />

Low-frequency radar,<br />

optical and laser<br />

altimetry.<br />

Laser/radar missions<br />

currently planned;<br />

need to be<br />

implemented<br />

Soil Carbon<br />

National soil carbon<br />

surveys<br />

No designated global<br />

network or data centre<br />

exists; major geographical<br />

gaps;<br />

Not directly<br />

applicable<br />

FAO-IIASA world soil map<br />

Fire<br />

Disturbance<br />

GOFC Regional<br />

Networks, GFMC<br />

Some geographical gaps<br />

exist.<br />

Optical and thermal.<br />

Geostationary and<br />

moderate to highresolution<br />

optical<br />

systems continuity<br />

required.<br />

Soil<br />

Moisture<br />

FLUXNET; GTN-SM<br />

needs to established<br />

WWW/GOS surface<br />

synoptic network<br />

No designated baseline<br />

network exists.<br />

Active and passive<br />

microwave missions<br />

Continuity after the<br />

research missions<br />

required<br />

6.2. Specific Issues – Terrestrial Domain ECVs<br />

ECV – River Discharge<br />

River discharge plays an important role in driving the climate system, as the freshwater inflow to the<br />

oceans may influence thermohaline circulation. The statistical properties of river discharge are an<br />

indicator for climatic change and variability, as they reflect changes in precipitation and<br />

evapotranspiration and are influenced in the longer term by land cover. River discharge data are also<br />

required for the calibration and validation of climate and impact models, trend analysis, and socioeconomic<br />

investigations. Monthly observations of river discharge are generally sufficient to estimate<br />

continental runoff into the ocean, although daily data are needed to calculate the statistical<br />

parameters of river discharge, e.g., for impact analyses of extreme discharge.<br />

Most countries monitor river discharge, yet many are reluctant to release their data. Additional<br />

difficulties arise because data are organized in scattered and fragmented ways, i.e., data are<br />

managed at sub-national levels, in different sectors, and using different archival systems. Even for<br />

those data providers that do release their data, delays of a number of years can occur before data are<br />

delivered to International Data Centres such as the Global Runoff Data Centre (GRDC). In addition to<br />

the need for better access to existing data, the trend toward shrinking observing networks in some<br />

countries (especially the closing of stations with long records) needs to be reversed.<br />

Research concerning interferometric and altimetry-based approaches to river water level and<br />

discharge monitoring from satellites are being developed by the space agencies, encouraged by<br />

<strong>GCOS</strong>, TOPC and IGWCO.<br />

With current technology in situ systems offer the most complete basis for river discharge monitoring.<br />

The GRDC has a mandate, through resolution 21 (<strong>WMO</strong> Congress XII, 1995), to collect river<br />

discharge data on behalf of all Members in a free and unrestricted manner, in accordance with<br />

resolution 25 (<strong>WMO</strong> Congress XIII, 1999). However, there are major gaps in the data received by the<br />

GRDC, both in terms of the number of rivers monitored and the time it takes for the GRDC to receive<br />

the data.<br />

Based on past demands for data, the GRDC has proposed a baseline network of river discharge<br />

stations near the downstream end of the largest rivers of the world – as ranked by their long-term<br />

average annual volume These stations, a subset of existing gauging stations around the world,<br />

collectively form a new <strong>GCOS</strong>/GTOS baseline network, the Global Terrestrial Network – River<br />

109

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