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DATASET_README
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DATASET_README
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README -- describes contents of HEMCO/GFAS/v2018-09 directory
24 September 2018
GEOS-Chem Support Team
geos-chem-support@as.harvard.edu
Overview:
================================================================================
This directory contains CAMS Global Fire Assimilation System estimated biomass
burning emissions, including information about injection heights derived from
fire observations and meteorological information from the operational weather
forecasts of ECMWF.
FRP observations currently assimilated in this data set are the NASA Terra MODIS
and Aqua MODIS active fire products -
(http://modis-fire.umd.edu/pages/ActiveFire.php)
This data set includes: Fire Radiative Power (FRP), dry matter burnt and biomass
burning emissions.
Citation:
--------------------------------------------------------------------------------
Contains modified Copernicus Atmosphere Monitoring Service Information 2018
Please acknowledge the use of this data set according to the terms of the
Copernicus CAMS License agreement:
"Where the Licensee makes or contributes to a publication or distribution
containing adapted or modified CAMS Information, the Licensee shall provide the
following or any similar notice:"
'Contains modified Copernicus Atmosphere Monitoring Service Information [Year]';
Reference:
--------------------------------------------------------------------------------
Francesca Di Giuseppe, Samuel Rémy, Florian Pappenberger, and Fredrik
Wetterhall: Combining fire radiative power observations with the fire weather
index improves the estimation of fire emissions, Atmos. Chem. Phys. Discuss.,
https://doi.org/10.5194/acp-2017-790
Rémy, S., Veira, A., Paugam, R., Sofiev, M., Kaiser, J. W., Marenco, F., Burton,
S. P., Benedetti, A., Engelen, R. J., Ferrare, R., and Hair, J. W.: Two global
data sets of daily fire emission injection heights since 2003, Atmos. Chem.
Phys., 17, 2921-2942, https://doi.org/10.5194/acp-17-2921-2017, 2017
N. Andela (VUA), J.W. Kaiser (ECMWF, KCL), A. Heil (FZ Jülich), T.T. van Leeuwen
(VUA), G.R. van der Werf (VUA), M.J. Wooster (KCL), S. Remy (ECMWF) and
M.G. Schultz (FZ Jülich), Assessment of the Global Fire Assimilation System
(GFASv1)
Kaiser, J. W., Heil, A., Andreae, M. O., Benedetti, A., Chubarova, N., Jones,
L., Morcrette, J.-J., Razinger, M., Schultz, M. G., Suttie, M., and van der
Werf, G. R. (2012). Biomass burning emissions estimated with a global fire
assimilation system based on observed fire radiative power. BG, 9:527-554
Xu et al. (2010) New GOES imager algorithms for cloud and active fire detection
and fire radiative power assessment across North, South and Central America.
RSE Vol. 114
Heil et al. (2010) Assessment of the Real-Time Fire Emissions (GFASv0) by MACC,
ECMWF Tech. Memo No. 628
Di Giuseppe, F, Remy, S, Pappenberger, F, Wetterhall, F (2016): Improving GFAS
and CAMS biomass burning estimations by means of the Global ECMWF Fire Forecast
system (GEFF), ECMWF Tech. Memo No. 790
Files:
================================================================================
YYYY/GFAS_YYYYMM.nc
-- Gridded plume rise model parameters, GFAS analysis surface parameters,
gridded satellite parameters
Resolution : 0.1 x 0.1
Units : m (plume rise model parameters), kg/m^2/s (GFAS analysis
surface parameters), unitless (wildfire fraction of area
observed), W/m^2 (wildfire radiative power)
Timestamps : Monthly, 2003/01 through present month
Compression : Level 4 (i.e. nccopy -d4)
Exhaustive data set information can be found on the CAMS GFAS page in the
ECMWF wiki:
https://confluence.ecmwf.int/
How the NetCDF files were created:
================================================================================
The data set files were created as follows.
1) Retrieve NetCDF format data in half month chunks from ECMWF.
2) Create new NetCDF format data file to contain entire month's worth of data,
setting 'title', 'conventions', and 'history' attributes as per COARDS.
3) Create output dimensions, converting 'time' from
hours since 1900-01-01 00:00:0.0
to
hours since 1970-01-01 00:00:0.0
and reversing the sequence of latitude values.
4) For each data set variable:
- set 'units', 'long_name', 'missing_value'
- set the modal value in each input half-monthly variable to zero
(if it is an emission variable), or the output missing value
otherwise. There does not appear to be a consistent missing value
in the output from the ECMWF data API for this data set in NetCDF
format; as this is sparse data, the modal value will be missing data
- concatenate input half-monthly data, reversing the latitude dimension
4) For the mean altitude of maximum injection variable:
- where there is no CO emission, i.e. no fire, set mean altitude of
maximum injection value to the output missing value
- where is CO emission, i.e. fire, and the mean altitude of maximum
injection value is between -1.0 and 1.0 (exclusive), set mean
altitude of maximum injection value to 0.0 (i.e. surface)
- the above two steps were taken to further clean up inconsistencies in
missing value in the output from the ECMWF data API for this data set
in NetCDF format
All variables were compressed at NetCDF 'level 4' when created. Variables were
chunked with the following sizes:
time/1, lat/1800, lon/3600
as suggested by the GEOS-Chem wiki.