3 Works

IAGOS ancillary data: CO contributions dataset

B. Sauvage, A. Fontaine & D. Boulanger
In order to help analyzing the IAGOS observations and understanding the processes driving their evolutions, we provide ancillary parameters calculated with SOFT-IO along aircraft observations.\nCO contribution is defined as follow. CO mixing ratio is calculated for each IAGOS observations (every 0.5° lat/lon; every 10hPa during ascent or descent phase) and sorted by source origin (biomass burning and anthropogenic, and for 14 geographical origins). CO total contribution is then the sum of each CO source origin...

SOFT-IO: SOft attribution using FlexparT and carbon monoxide emission inventories for In-situ Observation database

B. Sauvage, A. Auby & A. Fontaine
SOFT-IO is a tool based on the FLEXPART particle dispersion model (Stohl et al., 2005) coupled on emission inventories provided in the scientific community. It has been developed to quantify source/receptor links for atmospheric trace gases. SOFT-IO simulates the contributions of anthropogenic and biomass burning emissions from the ECCAD emission inventory database for all locations and times corresponding to the measured carbon monoxide mixing ratio along each flight measurements. The main goal is to supply...

SEV06-CLD : A MODIS-like SEVIRI cloud products dataset

G. Wind, S. Platnick, J. Riedi, A. Heidinger, S. Ackerman & B. Baum
The SEV06-CLD dataset provides cloud properties derived from the SEVIRI instrument series using algorithms that have been historically developped for the processing of MODIS data. SEV06-CLD uses MODIS-like algorithms for cloud optical and microphysical property retrievals, and a modified GOES-R Algorithm Working Group (AWG) algorithm for cloud-top temperature and pressure. Cloud masking is obtained from the Météo France Satellite Application Facility for supporting NoWCasting (SAFNWC) software package. The SEV06-CLD datasets share a common retrieval core...

Resource Types

  • Dataset
  • Software

Publication Year

  • 2017

Registration Year

  • 2017