• My GeoNetwork catalogue
  •   Search
  •   Map
  •   Sign in

Ensemble Kalman Fitting Paleo-Reanalysis Version 2 (EKF400_v2)

EKF400 version 2 is a monthly resolved paleo-reanalysis covering the period 1603 to 2003. Early instrumental temperature, surface pressure and precipitation (new in version 2) observations, temperature indices derived from historical documents and temperature and moisture sensitive tree-ring measurements (largely increased number in version 2) were assimilated into an atmospheric general circulation model ensemble using a Kalman filtering technique. This data set combines the advantage of traditional reconstruction methods of being as close as possible to observations with the advantage of climate models of being physically consistent and having 3-dimensional information about the global state of the atmosphere at 2x2 degree resolution for various variables and at all points in time.

While version 1 was using time-dependent covariances from the 30-member ensemble, version 2 uses a blended covariance matrix. It consists of 50% time-dependent and 50% climatological covariances. This leads to a better covariance estimation, not only between various locations in space but in between various variables, too.

Simple

Date (Publication)
2020-07-28
Edition

1

Citation identifier
EKF400_v2.0
Citation identifier
doi:10.26050/WDCC/EKF400_v2.0
Principal investigator
  Institute of Geography and Oeschger Centre for Climate Change Research - Dr. Jörg Franke
not filled
Author
  Institute of Geography and Oeschger Centre for Climate Change Research - Dr. Jörg Franke
not filled
Author
  Institute of Geography and Oeschger Centre for Climate Change Research - Dr. Veronika Valler
not filled
Author
  Institute of Geography and Oeschger Centre for Climate Change Research - Yuri Brugnara
not filled
Author
  Institute of Geography and Oeschger Centre for Climate Change Research - Prof. Dr. Stefan Brönnimann
not filled
Publisher
  WDC Climate at DKRZ
Point of contact
  University of Bern - Dr. Jörg Franke
not filled
Name

NetCDF

Keywords
  • data assimilation

Keywords
  • tree ring proxy data

Use limitation

CC-BY-4.0: Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/

Language

eng; USA

N
S
E
W
thumbnail


Begin date
1602-01-15
End date
2003-12-15
Supplemental Information

info:eu-repo/grantAgreement/EC/FP7/607029/BE//European Reanalysis of the Global Climate System (ERA-CLIM2)

info:eu-repo/grantAgreement/SNSF//162668/CH//Reconstructing Climate Using Ensemble Kalman Fitting (REUSE)

Distribution format
  • NetCDF ()

Transfer size
110330
OnLine resource
https://www.wdc-climate.de/ui/entry?acronym=EKF400_v2.0
Hierarchy level
collection

Non quantitative attribute accuracy

Name of measure

n/a

Measure description

None

Attribute description
air_pressure_at_sea_level
Descriptor

sea_level means mean sea level, which is close to the geoid in sea areas. Air pressure at sea level is the quantity often abbreviated as MSLP or PMSL.[CF-Standard Name]; unit: Pa

Attribute description
precipitation_amount
Descriptor

"Amount" means mass per unit area. "Precipitation" in the earths atmosphere means precipitation of water in all phases. [CF-Standard Name]; unit: kg m-2

Attribute description
air_temperature
Descriptor

Air temperature is the bulk temperature of the air, not the surface (skin) temperature. [CF-Standard Name]; unit: K

Attribute description
geopotential_height
Descriptor

Geopotential is the sum of the specific gravitational potential energy relative to the geoid and the specific centripetal potential energy. Geopotential height is the geopotential divided by the standard acceleration due to gravity. It is numerically similar to the altitude (or geometric height) and not to the quantity with standard name height, which is relative to the surface. [CF-Standard Name]; unit: m

Attribute description
lagrangian_tendency_of_air_pressure
Descriptor

"tendency_of_X" means derivative of X with respect to time. The Lagrangian tendency of a quantity is its rate of change following the motion of the fluid, also called the "material derivative" or "convective derivative". The Lagrangian tendency of air pressure, often called "omega", plays the role of the upward component of air velocity when air pressure is being used as the vertical coordinate. If the vertical air velocity is upwards, it is negative when expressed as a tendency of air pressure; downwards is positive.[CF-Standard Name]; unit: Pa s-1

Attribute description
pressure_level_wind
Descriptor

not filled; unit: Pa

Attribute description
time
Descriptor

time [CF-Standard Name]; unit: not filled

Attribute description
level_temp
Descriptor

not filled; unit: m and Pa

Attribute description
pressure_level_gph
Descriptor

not filled; unit: Pa

Attribute description
eastward_wind
Descriptor

"Eastward" indicates a vector component which is positive when directed eastward (negative westward). Wind is defined as a two-dimensional (horizontal) air velocity vector, with no vertical component. (Vertical motion in the atmosphere has the standard name upward_air_velocity.) [CF-Standard Name]; unit: m s-1

Attribute description
latitude
Descriptor

latitude [CF-Standard Name]; unit: degrees_north

Attribute description
longitude
Descriptor

longitude [CF-Standard Name]; unit: degrees_east

Attribute description
northward_wind
Descriptor

"Northward" indicates a vector component which is positive when directed northward (negative southward). Wind is defined as a two-dimensional (horizontal) air velocity vector, with no vertical component. (Vertical motion in the atmosphere has the standard name upward_air_velocity.) [CF-Standard Name]; unit: m s-1

File identifier
wdc-climate.de:3879249 XML
Metadata language

eng; USA

Hierarchy level
collection
Hierarchy level name

EKF400_v2.0

Date stamp
2020-06-23T16:32:29
Metadata standard name

ISO 19115

Metadata standard version

ISO 19115-2:2009

Point of contact
  University of Bern - Dr. Jörg Franke
not filled
Point of contact
  University of Bern - Dr. Jörg Franke
not filled
 
 

Overviews

Spatial extent

N
S
E
W
thumbnail


Keywords


Provided by

logo
Access to the portal
Read here the full details and access to the data.

Associated resources

Not available


  •   About
  •   Github
  •