EARLINET

Collection 2000-2019 33 stations

The Level 3 standard products contain climatological datasets obtained as aggregated products from the fully quality controlled (QC) aerosol optical products (i.e. Level 2 products). In order to avoid biases due to measurements made on purpose specifically for capturing special events, it is considered only subset of data corresponding to regular schedule and measurements done for satellite validation purposes (i.e. climatological and calipso category files following the current EARLINET database organization [Pappalardo et al., 2014]).

For further details please refer to the following documentation: Download the Level 3 Product Catalogue

Map of the 33 stations involved in the collection
Map of the 33 stations involved in the collection
Example of normal month averages of aerosol extinction coefficient
Example of normal month averages of aerosol extinction coefficient

Data policy

Creative Commons Attribution 4.0 International legal code (CC BY 4.0)

How to cite

ACTRIS/EARLINET Level 3 2000-2019 climatological dataset Collection ACTRIS ARES Data Centre, Lucia Mona, Giuseppe D’Amico, Sergio Ciamprone, Ermann Ripepi, Francesco Amato, Claudio Dema, Pilar Gumà-Claramunt, Version 1 of Collection published 2024 via National Research Council – Institute of Methodologies for Environmental Analysis.

DOI: https://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/all

List of the stations with DOI and data downloading

CodeLocationDOILayers/Profiles/Integrated Data
ABYAberystwyth, United Kingdomhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/abydownload aby data
ARRAndøya, Norwayhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/arrdownload arr data
ATZAthens, Greecehttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/atzdownload atz data
BRCBarcelona, Spainhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/brcdownload brc data
CBWCabauw, Netherlandshttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/cbwdownload cbw data
COGBelsk, Polandhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/cogdownload cog data
DUSDushambe, Tajikistanhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/dusdownload dus data
EVOEvora, Portugalhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/evodownload evo data
GARGarmisch-Partenkirchen, Germanyhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/gardownload gar data
GRAGranada, Spainhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/gradownload gra data
HBUHamburg, Germanyhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/hbudownload hbu data
HPBObservatory Hohenpeissenberg, Germanyhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/hpbdownload hpb data
INOBucharest, Romaniahttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/inodownload ino data
IPRIspra, Italyhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/iprdownload ipr data
KUHKuehlungsborn, Germanyhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/kuhdownload kuh data
LEILeipzig, Germanyhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/leidownload lei data
LKPLinkoping, Swedenhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/lkpdownload lkp data
LLELille, Francehttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/lledownload lle data
MASMinsk, Belarushttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/masdownload mas data
MDRMadrid, Spainhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/mdrdownload mdr data
MELMelpitz, Germanyhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/meldownload mel data
MUCMaisach, Germanyhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/mucdownload muc data
NAPNapoli, Italyhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/napdownload nap data
POTPotenza, Italyhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/potdownload pot data
PUYClermont-Ferrand, Francehttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/puydownload puy data
RMERoma-Tor Vergata, Italyhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/rmedownload rme data
SALLecce, Italyhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/saldownload sal data
SIRPalaiseau, Francehttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/sirdownload sir data
SOFSofia, Bulgariahttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/sofdownload sof data
SPLSt. Petersburg, Russiahttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/spldownload spl data
THEThessaloniki, Greecehttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/thedownload the data
UCCCork, Irelandhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/uccdownload ucc data
WAWWarsaw, Polandhttps://doi.org/10.57837/cnr-imaa/ares/actris-earlinet/level3/climatological/2000_2019/wawdownload waw data

If you like, you can also download the data grouped not for single station, but for kind of data product, and containing the data of all the stations, using the following links:

Download the Level 3 Layers Data products: Part1Part2Part3

Download the Level 3 Profiles Data products: Part1Part2Part3

Download the Level 3 Integrated Data products: All