Observation Influence Diagnostic of a Data Assimilation System - Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications - page 97

Tabl e 4. 1 Observation type assimilated on October 2011. The total number of data in one
assimilation cycle is on average m 25;000;000

Data name Data kind Information

OZONE (O 3 ) Backscattered solar UV radiation,

retrievals

Ozone, stratosphere

GOES-Radiance US geostationary satellite infrared

sounder radiances

Moisture, mid/upper troposphere

MTSAT-Rad Japanese geostationary satellite infrared

sounder radiances

Moisture, mid/upper troposphere

MET-rad EUMETSAT geostationary satellite

infrared sounder radiances

Moisture, mid/upper troposphere

AMSU-B Microwave sounder radiances Moisture, troposphere

MHS Microwave sounder radiances Moisture, troposphere

MERIS Differential reflected solar radiation,

retrievals

Total column water vapour

GPS-RO GPS radio occultation bending angles Temperature, surface pressure

IASI Infrared sounder radiances Temperature, moisture, ozone

AIRS Infrared sounder radiances Temperature, moisture, ozone

AMSU-A Microwave sounder radiances Temperature

HIRS Infrared sounder radiances Temperature, moisture, ozone

ASCAT Microwave scatterometer backscatter

coefficients

Surface wind

MODIS-AMV US polar atmospheric motion vectors,

retrievals

Wind, troposphere

Meteosat-AMV EUMETSAT geostationary atmospheric

motion vectors, retrievals

Wind, troposphere

MTSAT-AMV Japanese geostationary atmospheric

motion vectors, retrievals

Wind, troposphere

GOES-AMV US geostationary atmospheric motion

vectors, retrievals

Wind, troposphere

PROFILER American, European and Japanese Wind

profiles

Wind, troposphere

PILOT Radiosondes from land stations Wind, troposphere

DROP Dropsondes from aircrafts Wind, temperature, moisture,

pressure, troposphere

TEMP Radiosondes from land and ships Wind, temperature, moisture,

pressure, troposphere

Aircraft Aircraft measurements Wind, temperature, troposphere

DRIBU Drifting buoys Surface pressure, temperature,

moisture, wind

SYNOP Surface observations at land Surface pressure, temperature,

stations and on ships moisture, wind

an estimate of the analysis covariance matrix A (see Cardinali et al. 2004 for details).
On the contrary, the OI influence of satellite data is quite small. The largest influence
is provided by GPS-RO observations ( 0:4 ) which again are accurate data ( Healy

and Thepaut 2006 ), followed by AMSU-A measurements ( 0:3 ). All the other

observations have an influence of about 0.2. Recently, changes in the assimilation