Who are cams users today by Popp

2. inside

5. Service
Number of Users/ Requests
for data 1/1/2015
Number of Users/ Requests
for data 1/4/2016
Latest updates (1/6/2016)
Global atmospheric
composition NRT analyses &
forecasts
255 users
European Air quality NRT
analyses & forecasts
155 users
Global atmospheric
composition reanalysis
1600 users
Greenhouse gas fluxes 40 users 121 users 139 users
Solar Radiation ~1000 requests / year
Users of the ftp service for
global products
40 users
Anthropogenic and fire
emissions
1773 users (716 institutes) 2200 users (800 institutes)
User queries tracking system 318 requests 551 requests 725 requests

6. 0
100
200
300
400
500
600
700
800
global NRT
Euro NRT
GHG fluxes
ftp global
queries
0
500
1000
1500
2000
2500
3000
3500
Global reanal
Solar
fire/emis

8. Surface concentration
from 6-Apr-2016 12:00
to 9-Apr-2016 00:00

9. Record Indonesian wildfire emissions 2015

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12. •
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RFMIP, AerChemIP and DCPP http://www.geosci-model-dev-discuss.net/8/10539/2015/gmdd-8-10539-
2015.pdf
UNFCCC, the aim “to achieve a balance between anthropogenic emissions by sources and removals by
sinks of greenhouse gases in the second half of this century” (article 4 of the Paris Agreement) can be
understood as a stabilization of the forcing by well-mixed greenhouse gases. CAMS74 can contribute to
monitor progress towards this goal.
IPCC AR6, 1.5°C special report
A graduate student at Princeton University
“I'm a graduate student at Princeton University. My current project focuses on the effect of air pollution
on surface radiation. I have researched on several reanalysis and satellite-derived products. MACC
interests me in that the aerosol radiative forcing product provides attributions of the forcing to
anthropogenic and natural aerosols, which no other products (NASA's or NOAA's) provide according to
my knowledge. I was wondering if more detailed calculated radiation, e.g. direct and diffusive radiative
forcing due to anthropogenic and natural aerosols, is available in your dataset. If so, is it possible for me
to get access?
It would be greatly appreciated if you could provide more insights on the uncertainty and caveats of using
these data.”
Answer: Radiative forcing on direct and diffuse fluxes is not included, but we could consider adding
those terms in the version to be released in August 2016. For uncertainties and caveats, Charles has been
directed to Bellouin et al. (2013).

13. 2016 Quarter 1
Number of files delivered 577,446
Number of users (or IP used) 97
Volumetry of data exchanged (Gigabyte) 2,229
Use of ENS in NETCDF format (%) 33,67%
Use of ENS in GRIB2 format (%) 21,67%
Number of registered users (European AQ
NRT analyses and forecasts)
277
A testimonial
"We use the CAMS Regional Ensemble forecast as boundary
conditions for our local high-resolution city-scale dispersion
model ADMS-Urban, as part of the airTEXT air quality forecasting
service for London and South East England. We need NO, NO2,
ozone and NMVOC from CAMS for the NOX chemistry scheme in
our model.„

14. 0
5
10
15
20
25
30
35
40
45 Registered active users per quarter in 2016
Q1
Q2
Q3
Q4
0
200
400
600
800
1000 Number of requests per quarter in 2016
Q1
Q2
Q3
Q4
18
280
40
Registered active users
quarter #1 2016
From
companies
Researchers /
Academics
Policy agencies
Unknown type
468
916
0
475
Number of requests
quarter #1 2016
From companies
Researchers /
Academics
Policy agencies
Unknown type

16. Service Number of Users/ Requests for data
Global NRT Analyses & Forecasts 225 users
Regional NRT Analyses & Forecasts 155 users
Global Reanalysis 1600 users
GHG flux inversions 40 users
Solar Radiation ~1000 requests/year
Global ftp 40 users
Emissions, fire 1773 users (716 institutes)
User queries tracking system 318 items until 8/1/2015

17. • Intergovernmental Panel on Climate Change
AR5 (2013), Chapter 7: “The best estimate [of RFari] is taken as –0.35 Wm–2. This is
the same as the AeroCom II model estimate, and also the average of the Myhre
(2009) observationally-based estimate (–0.3 Wm–2) and the Bellouin et al. (2013)
reanalysis estimate (–0.4 Wm–2).”
“The 5–95% range of RFari adopted in this assessment employs the Bellouin et al.
(2013) uncertainty to account for retrieval error in observational quantities when
constrained by global models”.
• International research community

18. global
commercial
governmental
science
other
regional
commercial
governmental
science
other
solar
commercial
governmental
science
other