sun- (/sky-) photometer ground-networks

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Presentation transcript:

sun- (/sky-) photometer ground-networks GAW - aod AERONET … complementing LIDAR SKYnet MAN - aod Stefan Kinne MPI-Met, Hamburg

sun- (/sky-) photometers can do aerosol column properties AOD at several wavel. fine mode AOD fraction water vapor size distribution (sky) absorption AOD (sky) cloud opt.depth (sky) consistency through calibr. networks operation cannot do night time (need the sun) when clouds are present vertical stratification applications calibration and reference for lidar remote sensing reference in evaluations of aerosol global modeling complementary nature to lidar (at MPL-NET and most EARLINET sites) AOD = integrated ext. limitation local nature of sample day-time nature of sample abso. less acc at low AOD

outline what major sun-photometer networks exist and are recent data accessible ? why are aerosol properties of sun-photometry more accurate than satellite retrievals? data-samples in the global context application sample in aerosol assimilations why lidar-sites should upgrade to sun-photometers (and radiometers and cloud- and precipitation radars)  complementary nature

AERONET Laengeren 9/20/2010 data !  successful recent data access

Skynet successful recent data access associations are offered ! here for Hedo April 2010 September 2010 data on the web ! successful recent data access

GAW - AOD no data access on the nice Swiss web-site http://www.pmodwrc.ch/worcc (C.Wehrli) error message on the NILU/EBAS site

MAN - AOD

sun-photo vs. sat-retrieval AOD data based on solar radiation attenuation data … function of trace-gas absorption molecular scattering amount matters sky-radiance data of additional info on size-distribution (.1-10um) absorption if AOD is large (suff. signal / noise ratio) AOD based on reflected radiances … function of trace-gas absorption molecular scattering amount matters size matters (pre-selected) shape matters (spheres) absorption mat. (assumed) surface properties need to be known: D 1% alb ~ D 0.1 AOD

global … data / applications seasonal multi-annual averages for ‘amount’ AOD (aerosol optical depth) ‘size’ Angstrom / fine-mode fraction ‘absorption’ absorption-AOD (= AOD * (1-ssa)) ‘water-vapor’ combining with modeling  climatology which is superior to modeling evaluation (of assimilations)

sun-photo & modeling = climatology annual maps of an aerosol climatology

evaluating assimilations 2003 AOD 2004 AOD 2003 Angstr 2004 Angstr Angstr diff. to AERONET AOD diff. to AERONET

2004 AOD … is this good ? AOD diff. to AERONET  underestimate overestimate 

scoring AOD performance score - 0.56 BIAS-sign (error = 0.44) positive negative temp correlation error strength spatial correlat. bias strength increasing error 

complementary nature even though lidar and sun-/sky-photometer have different viewing geometries … lidar needs (or can use) the complementary constraint on column integrated extinction (=AOD) and other column aero properties the more continuous temporal day-time coverage sun-/sky photometry are extended by lidar via vertical stratification of properties via night-time coverage

extra slides

AERONET