BackForwardApplication: 2.6 Atmospheric Composition Forecasting and Monitoring

Details
Name 2.6 Atmospheric Composition Forecasting and Monitoring
Description Applications related to evaluating and analysing temporal and spatial changes in atmospheric composition, at regional and global scale. They aim to support treaty monitoring, climatologies, and re-analyses, assessing trends in composition and emissions/fluxes, and to better understand processes, principally in the troposphere and stratosphere. The applications rely on the use of data of controlled quality with less stringent time requirements compared to the near-real-time requirements. These data are also used to derive products that are published in the WMO ozone and greenhouse gas bulletins and the state of the atmosphere reports (for example, Scientific Assessment of Ozone Depletion reports).
Organization World Meteorological Organization
Focal
Point
Richard Eckman
Earth System Application Category 2. Atmospheric Applications

Requirements defined for 2.6 Atmospheric Composition Forecasting and Monitoring  (50)

This tables shows all related requirements. For more operations/filtering, please consult the full list of Requirements
Note: In reading the values, goal is marked blue, breakthrough green, threshold orange
Application-dependent Technical Priority (ATP) Magenta and Relative priority of the attributes Red

Id Variable Layer App Area ATP Uncertainty Layer/s Quality Coverage Quality Stability / decade Hor Res Ver Res Obs Cyc Timeliness Coverage Conf Level Val Date Source General Comment Application Area Comment Horizontal Coverage Comment Observation Comment Performance Comment
863 N2O mole fraction 2.6 Atmospheric Composition Forecasting and Monitoring Global firm GAW Expert Team on Atmospheric Composition Network Design and Evolution
867 N2O mole fraction (BG) UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.05 ppb
0.1 ppb
0.3 ppb
0.05 ppb
0.1 ppb
0.3 ppb
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
30 d
182 d
Global firm 2022-01-05 GAW Expert Team on Atmospheric Composition Network Design and Evolution GAW Rep. No. 242, Network compatibility. Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error. Requirements are for Profile measurements.
869 N2O mole fraction (SR) UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.1 ppb
0.3 ppb
0.6 ppb
0.05 ppb
0.1 ppb
0.3 ppb
100 km
250 km
500 km
0.1 km
1 km
3 km
60 min
24 h
7 d
24 h
30 d
182 d
Regional firm 2022-01-05 GAW Expert Team on Atmospheric Composition Network Design and Evolution Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error. ICOS Atmos. Stations Specifications. Extended network compatibility goal. Currently ICOS simply adopts the GAW recommendations. Requirements are for Profile measurements.
872 CO2 Mole fraction (SR) UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.2 ppm
0.4 ppm
1 ppm
0.1 ppm
0.15 ppm
0.2 ppm
100 km
250 km
500 km
0.1 km
1 km
3 km
60 min
24 h
7 d
24 h
30 d
182 d
Regional firm 2022-01-05 GAW Expert Team on Atmospheric Composition Network Design and Evolution Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error. Requirements are for profile measurements. ICOS Atmos. Stations Specifications. Extended network compatibility goal
874 CO2 Mole fraction (BG) UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.1 ppm
0.2 ppm
0.5 ppm
0.1 ppm
0.15 ppm
0.2 ppm
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
30 d
182 d
Global firm 2022-01-05 GAW Expert Team on Atmospheric Composition Network Design and Evolution Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error. Requirements are for profile measurements. Ref: GAW Rep. No. 242. Network compatibility goal
876 CO2 column average dry air mixing ratio TC 2.6 Atmospheric Composition Forecasting and Monitoring 0.6 ppm
1 ppm
1.6 ppm
0.1 ppm/decade
0.15 ppm/decade
0.2 ppm/decade
1 km
5 km
10 km
60 min
12 h
3 d
24 h
7 d
14 d
Global firm 2021-12-09 GAW Expert Team on Atmospheric Composition Network Design and Evolution Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error. ESA URD-GHGCCI-v2016, Green report
881 CH4 Mole fraction (BG) UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 1 ppb
2 ppb
5 ppb
1 ppb
2 ppb
5 ppb
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
3 d
182 d
Global firm 2022-01-05 GAW Expert Team on Atmospheric Composition Network Design and Evolution Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error. Ref: GAW Rep. No. 242. Network compatibility goal
883 CH4 Mole fraction (SR) UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 2 ppb
4 ppb
8 ppb
1 ppb
2 ppb
5 ppb
1 km
250 km
500 km
0.1 km
1 km
3 km
60 min
24 h
7 d
24 h
30 d
182 d
Regional firm 2022-01-06 GAW Expert Team on Atmospheric Composition Network Design and Evolution Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error. Requirements are for profile measurements. ICOS Atmos. Stations Specifications. Extended network compatibility goal. Currently ICOS simply adopts the GAW recommendations. SR (source region) refers to measurements made within or close to pollution source.
885 CH4 column average dry air mixing ratio TC 2.6 Atmospheric Composition Forecasting and Monitoring 7 nmol/mol
10 nmol/mol
20 nmol/mol
1 nmol/mol
2 nmol/mol
5 nmol/mol
0.3 km
1 km
10 km
60 min
12 h
3 d
24 h
7 d
14 d
Global firm 2021-12-09 GAW Expert Team on Atmospheric Composition Network Design and Evolution Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error. ESA URD-GHGCCI-v2016, TCCON
889 CO Tropospheric column 2.6 Atmospheric Composition Forecasting and Monitoring Global firm GAW Expert Team on Atmospheric Composition Network Design and Evolution
891 CO 2.6 Atmospheric Composition Forecasting and Monitoring Global firm GAW Expert Team on Atmospheric Composition Network Design and Evolution
894 NO2 2.6 Atmospheric Composition Forecasting and Monitoring Global firm GAW Expert Team on Atmospheric Composition Network Design and Evolution
898 NO2 Tropospheric column 2.6 Atmospheric Composition Forecasting and Monitoring Global firm GAW Expert Team on Atmospheric Composition Network Design and Evolution
905 SO2 Total Column 2.6 Atmospheric Composition Forecasting and Monitoring Global firm GAW Expert Team on Atmospheric Composition Network Design and Evolution
908 NO2 Stratospheric Column 2.6 Atmospheric Composition Forecasting and Monitoring Global firm GAW Expert Team on Atmospheric Composition Network Design and Evolution
913 O3 Total Column TC 2.6 Atmospheric Composition Forecasting and Monitoring 1 %
3 %
5 km
100 km
6 h
3 d
24 h
30 d
Global firm 2022-01-05 GAW Expert Team on Atmospheric Composition Network Design and Evolution Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error.
917 NO2 mole fraction (near surface) Near Surface 2.6 Atmospheric Composition Forecasting and Monitoring Local firm 2022-01-26 GAW Expert Team on Atmospheric Composition Network Design and Evolution
920 CO mole fraction (near surface) Near Surface 2.6 Atmospheric Composition Forecasting and Monitoring Local firm 2022-01-26 GAW Expert Team on Atmospheric Composition Network Design and Evolution
923 HCHO Near Surface 2.6 Atmospheric Composition Forecasting and Monitoring Local firm 2022-01-26 GAW Expert Team on Atmospheric Composition Network Design and Evolution
925 HCHO Tropospheric column TrC 2.6 Atmospheric Composition Forecasting and Monitoring Global firm 2022-01-26 GAW Expert Team on Atmospheric Composition Network Design and Evolution
927 SO2 Tropospheric Column TrC 2.6 Atmospheric Composition Forecasting and Monitoring Global firm 2022-01-26 GAW Expert Team on Atmospheric Composition Network Design and Evolution
929 SO2 UTLS
FT
PBL
2.6 Atmospheric Composition Forecasting and Monitoring Global firm 2022-01-26 GAW Expert Team on Atmospheric Composition Network Design and Evolution
932 SO2 mole fraction (near surface) Near Surface 2.6 Atmospheric Composition Forecasting and Monitoring Global firm 2022-01-26 GAW Expert Team on Atmospheric Composition Network Design and Evolution
940 (13)CO2 Delta UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.01 ‰
0.05 ‰
0.3 ‰
0.01 ‰
0.05 ‰
0.3 ‰
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
28 d
168 d
Global firm 2022-02-21 GAW Expert Team on Atmospheric Composition Network Design and Evolution GAW Rep. No. 242 G = Network Compatibility Goal. Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error.
941 (14)CO2 Delta UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.5 ‰
3 ‰
10 ‰
0.5 ‰
3 ‰
10 ‰
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
28 d
168 d
Global firm 2022-02-21 GAW Expert Team on Atmospheric Composition Network Design and Evolution GAW Rep. No. 242 G = Network Compatibility Goal. Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error.
942 C(18)OO Delta UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.02 ‰
0.05 ‰
0.5 ‰
0.02 ‰
0.05 ‰
0.5 ‰
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
28 d
168 d
Global firm 2022-02-21 GAW Expert Team on Atmospheric Composition Network Design and Evolution GAW Rep. No. 242 B = Network Compatibility Goal. Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error.
943 (13)CH4 delta UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.01 ‰
0.02 ‰
0.2 ‰
0.01 ‰
0.02 ‰
0.2 ‰
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
28 d
168 d
Global firm 2022-02-21 GAW Expert Team on Atmospheric Composition Network Design and Evolution GAW Rep. No. 242 Network Compatibility Goal Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error.
944 (14)CH4 Delta UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.5 ‰
3 ‰
10 ‰
0.5 ‰
3 ‰
10 ‰
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
28 d
168 d
Global firm 2022-02-21 GAW Expert Team on Atmospheric Composition Network Design and Evolution GAW Rep. No. 242 G = Network Compatibility Goal. Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error.
946 CH3D Delta UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.5 ‰
1 ‰
5 ‰
0.5 ‰
1 ‰
5 ‰
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
28 d
168 d
Global firm 2022-02-22 GAW Expert Team on Atmospheric Composition Network Design and Evolution GAW Rep. No. 242 B = Network Compatibility Goal. Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error.
947 (13)CO Delta UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.1 ‰
0.2 ‰
1 ‰
0.1 ‰
0.2 ‰
1 ‰
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
28 d
168 d
Global firm 2022-02-22 GAW Expert Team on Atmospheric Composition Network Design and Evolution Roeckmann et al., ACP, 2002; Brenninkmeijer, JGR, 1993; Kato et al., JGR, 2000. Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error.
948 C(18)O Delta UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.2 ‰
0.4 ‰
2 ‰
0.2 ‰
0.4 ‰
2 ‰
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
28 d
168 d
Global firm 2022-02-22 GAW Expert Team on Atmospheric Composition Network Design and Evolution Roeckmann et al., ACP, 2002; Brenninkmeijer, JGR, 1993; Kato et al., JGR, 2000. Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error.
949 N(15)NO Delta UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.01 ‰
0.03 ‰
0.2 ‰
0.01 ‰
0.03 ‰
0.2 ‰
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
28 d
168 d
Global firm 2022-02-22 GAW Expert Team on Atmospheric Composition Network Design and Evolution Roeckmann and Levin, JGR, 2005; Ishijima et al., ACP, 2015; Kaiser et al., JGR, 2003. Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error.
950 N(15)NO-Alpha Delta UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.01 ‰
0.03 ‰
0.2 ‰
0.01 ‰
0.03 ‰
0.2 ‰
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
28 d
168 d
Global firm 2022-02-22 GAW Expert Team on Atmospheric Composition Network Design and Evolution Roeckmann and Levin, JGR, 2005; Ishijima et al., ACP, 2015; Kaiser et al., JGR, 2003; Roeckmann et al., RCMS, 2003. Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error.
951 N(15)NO-Beta Delta UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.01 ‰
0.03 ‰
0.2 ‰
0.01 ‰
0.03 ‰
0.2 ‰
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
28 d
168 d
Global firm 2022-02-22 GAW Expert Team on Atmospheric Composition Network Design and Evolution Roeckmann and Levin, JGR, 2005; Ishijima et al., ACP, 2015; Kaiser et al., JGR, 2003; Roeckmann et al., RCMS, 2003. Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error.
952 N2(18)O Delta UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.01 ‰
0.03 ‰
0.2 ‰
0.01 ‰
0.03 ‰
0.2 ‰
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
28 d
168 d
Global firm 2022-02-22 GAW Expert Team on Atmospheric Composition Network Design and Evolution Roeckmann and Levin, JGR, 2005; Ishijima et al., ACP, 2015; Kaiser et al., JGR, 2003. Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error.
953 HD Delta UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 1 ‰
3 ‰
10 ‰
1 ‰
3 ‰
10 ‰
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 min
24 h
7 d
24 h
28 d
168 d
Global firm 2022-02-22 GAW Expert Team on Atmospheric Composition Network Design and Evolution Batenburg, ACP, 2011; Pieterse, ACP, 2011; Roeckmann, JGR, 2013. Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error.
954 (14)CO Number Concentration UTLS
FT
PBL
Near Surface
2.6 Atmospheric Composition Forecasting and Monitoring 0.2  molec.cm-3
2  molec.cm-3
5  molec.cm-3
0.2  molec.cm-3/10y
2  molec.cm-3/10y
5  molec.cm-3/10y
500 km
1000 km
2000 km
0.5 km
1 km
3 km
60 sec
24 h
7 d
24 h
30 d
182 d
Global firm 2022-03-11 GAW Expert Team on Atmospheric Composition Network Design and Evolution GAW Rep. No. 242, B=Network compatibility goal. Uncertainties are provided as 2 sigma. They represent the sum of random and systematic error. 14CO is provided in molec / cm3. Unlike CO2, the CO mixing ratio is highly variable depending on where you are. Unlike e.g. 13CO2, the amount of 14CO is not proportional to the most common isotopologue 12CO.  For this reason per mil is not used in the literature.
955 Aerosol Optical Depth [550nm] TC 2.6 Atmospheric Composition Forecasting and Monitoring 60 min
28 d
60 min
12 h
Global firm 2022-07-01 GAW Expert Team on Atmospheric Composition Network Design and Evolution Uncertainty Goal: 0.02+0.05*X Uncertainty Threshold: 0.03+0.2*X
956 Particle single scattering albedo [FM, 550nm] 2.6 Atmospheric Composition Forecasting and Monitoring 0.01 
0.03 
3 h
30 d
3 h
12 h
Global firm 2022-07-04 GAW Expert Team on Atmospheric Composition Network Design and Evolution Might require definition of cut-off diameter for fine mode.
959 Particle single scattering albedo [CM, 550nm] 2.6 Atmospheric Composition Forecasting and Monitoring 0.01 
0.03 
3 h
30 d
3 h
12 h
Global firm 2022-07-04 GAW Expert Team on Atmospheric Composition Network Design and Evolution
961 Particle effective radius [FM] 2.6 Atmospheric Composition Forecasting and Monitoring 0.02 μm
0.1 μm
3 h
30 d
60 min
12 h
Global firm 2022-07-06 GAW Expert Team on Atmospheric Composition Network Design and Evolution Might require definition of cut-off diameter for fine mode.
963 Particle effective radius [CM] 2.6 Atmospheric Composition Forecasting and Monitoring 0.2 μm
2 μm
3 h
30 d
60 min
12 h
Global firm 2022-07-06 GAW Expert Team on Atmospheric Composition Network Design and Evolution Might require definition of cut-off diameter for coarse mode.
965 Aerosol Optical Depth [FM, anthr.] TC 2.6 Atmospheric Composition Forecasting and Monitoring 1 %
5 %
3 h
30 d
12 h
30 d
Global firm 2022-07-06 GAW Expert Team on Atmospheric Composition Network Design and Evolution might require definition of cut-off diameter for fine mode.
967 Aerosol Optical Depth [CM, anthr.] TC 2.6 Atmospheric Composition Forecasting and Monitoring 1 %
5 %
3 h
30 d
12 h
30 d
Global firm 2022-07-06 GAW Expert Team on Atmospheric Composition Network Design and Evolution might require definition of cut-off diameter for coarse mode.
968 Aerosol particle light extinction coefficient [532nm] 2.6 Atmospheric Composition Forecasting and Monitoring 0.01 km-1
0.1 km-1
60 min
2 d
60 min
1 y
Global firm 2022-07-07 GAW Expert Team on Atmospheric Composition Network Design and Evolution
970 Aerosol particle light extinction coefficient [355nm] 2.6 Atmospheric Composition Forecasting and Monitoring 0.015 km-1
0.15 km-1
60 min
2 d
60 min
1 y
Global firm 2022-07-07 GAW Expert Team on Atmospheric Composition Network Design and Evolution
973 Light backscattering coefficient [TSP, 355nm] 2.6 Atmospheric Composition Forecasting and Monitoring 3.0E-7 m-1sr-1
3.0E-7 m-1sr-1
60 min
2 d
3 h
1 y
Global firm 2022-07-07 GAW Expert Team on Atmospheric Composition Network Design and Evolution
975 Light backscattering coefficient [TSP, 1064nm] 2.6 Atmospheric Composition Forecasting and Monitoring 1.0E-7 m-1sr-1
1.0E-6 m-1sr-1
60 min
2 d
3 h
1 y
Global firm 2022-07-07 GAW Expert Team on Atmospheric Composition Network Design and Evolution
978 Cloud drop effective radius 2.6 Atmospheric Composition Forecasting and Monitoring 0.5 μm
2 μm
3 h
30 d
3 h
12 h
Global firm 2022-07-27 GAW Expert Team on Atmospheric Composition Network Design and Evolution
980 Cloud top height 2.6 Atmospheric Composition Forecasting and Monitoring 0.2 km
1 km
3 h
30 d
3 h
12 h
Global firm 2022-07-27 GAW Expert Team on Atmospheric Composition Network Design and Evolution