COST Action ES0702 EG-CLIMET - Final Report (Rapporti finali progetti di ricerca)

Type
Label
  • COST Action ES0702 EG-CLIMET - Final Report (Rapporti finali progetti di ricerca) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.12898/ES0702FR (literal)
Alternative label
  • Illingworth, A.J. (1), Ruffieux, D. (2), Cimini, D. (3), Löhnert, U. (4), Haffelin, M. (5), and Lehmann V. (6) (2013)
    COST Action ES0702 EG-CLIMET - Final Report
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Illingworth, A.J. (1), Ruffieux, D. (2), Cimini, D. (3), Löhnert, U. (4), Haffelin, M. (5), and Lehmann V. (6) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#supporto
  • Altro (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • (1) University of Reading, United Kingdom (2) MeteoSwiss, Switzerland (3) CNR-IMAA, Italy (4) University of Koln, Germany, (5) LMD, IPSL, France (6) DWD, Germany (literal)
Titolo
  • COST Action ES0702 EG-CLIMET - Final Report (literal)
Abstract
  • The advent of high resolution climate models together with high resolution weather forecast models running at global, regional and 1km convection resolving scales requires an integrated composite observing sytem which builds on existing infrastructure.Such a system must be of appropriate quality to meet the requirements of the numerical weather prediction (NWP) and climate coummunity. The goal of the COST action ES0702 is to specify an optimum European network of inexpensive, unmanned ground based profiling stations, which can provide continuous profiles of winds, humidity, temperature, clouds and aerosol properties. If the data from these networks are to be used, then several conditions must be fulfilled. Firstly a standard calibration, maintenance, and automatic data quality checking system must be developed. Secondly, the format of the data must be the same, so that it can be exchanged efficiently and rapidly in near real time. The model can then be evaluated by comparison with the observations over over a suitably long period. Ideally difficulties with the model can be identified and rectified so we can move to the third stage, and the 'O-B' statistics can be derived. That is to say the statistics of the difference between the observation and the background state. If the absence of bias can be confirmed, the standard deviations of the differences characterised and the spatial representativity of the observations established, then the observations can be considered as candidates for data assimilation and they can be used to improve the initial state of the model so that it better represents the true state of the atmosphere. The density of the network is a balance between the spatial representativity of the observations and the economic costs of deploying the instruments. This document provides a summary of the major findings and conclusions of the EG- CLIMET action. It highlights four profiling instruments, their synergy, and NWP applications. The instruments provide profiles of aerosol and cloud backscatter, winds, temperature and humidity: o Ceilometers o Doppler lidars o Wind profilers o Microwave Radiometers o Synergy and NWP applications (literal)
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