Operational Climate Monitoring - World … / in-situ data fusion Land Surface Temperature -CM (WMO)...

SWCEM Meeting, 15.-17.02.2017 Hollmann: Operational climate monitoring

Operational Climate Monitoring

Concept of Climate data records &

operational climate monitoring

Introduction CM SAF

Examples of downstream services

in Europe (e.g. WMO RCC RA VI)

in US (e.g. drought monitoring)

Summary and conclusions

SWCEM Meeting, 15.-17.02.2017 Hollmann: Operational climate monitoring 2

Needs for Climate Observations / Monitoring

Data sets for

Climate system understanding

Attribution

Trend analysis

Model evaluation

Extremes

High resolution (time and space )

Optimal coverage

Consistent

Sustained

Full range of variables


Concept of Climate Data Records (I)

Fundamental Climate Data Record denote a long-term satellite data record, involving a series of instruments, […] sufficient to allow the generation of homogeneous products providing a measure of the independent variable that is accurate and stable enough for climate monitoring.

Thematic Climate Data Record Thematic Climate Data Records (TCDR) are geophysical variables derived from the FCDRs, specific to various disciplines Interim Climate Data Record Climate Data Records regularly updated with algorithm / system identical to TCDR generation

DOI: 10.5676/EUM_SAF_CM/FCDR_SSMI/V001

DOI: 10.5676/EUM_SAF_CM/WVT_ATOVS/V001


TCDR Thematic

Climate Data Records

Multi-satellite geophysical parameter records derived

from FCDRs

ICDR Interim

Climate Data Records

Multi-satellite geophysical parameter records

Climatological

Background

Information:

Thematic Climate

Data Records

TCDR

Climatological

Up-to-date

Information:

InterimClimate

Data Records

ICDR

• Climate Assessment

• Maps & films

• Statistics

• Indices &

• Indicators

• Extremes

• ….

CM SAF: Climate Monitoring and Services


Satellite Application Facility on

Climate Monitoring

www.cmsaf.eu


CM SAF (core project)

FCDR SSMI/S

TCDR global CLARA-A3

TCDR global High Clouds

TCDR HOAPS

TCDR global Precipitation

TCDR global UTH

TCDR regional clouds

TCDR regional sfc rad

TCDR regional Land Fluxes

ICDR processing

Support activities

User Help Desk

Outreach and Training

Federate Activities

Validation of mw FCDR

Validation of GOME-2

LST from Meteosat

Validation of ROM data

Cloud Microphysics

SEVIRI Cloud Mask

Joint Precipitation WG

Surface Albedo

Visiting Scientist

QC of satellite & radiosonde

data

Error characterization of

SSMI radiances

Comparing UTH estimates

Aerosol direct radiative

forcing

Trends in solar radiation

Cloud simulator

Marine boundary clouds

QC of geostationary data

Cloud radiative effect

Sat / in-situ data fusion

Land Surface Temperature

SCOPE-CM (WMO)

Intercalibration of imager

data

AVHRR FCDR

LWP and Rain Water Path

Land sfc albedo

Multiplatform sfc albedo

Upper Tropospheric

Humidity

WMO, EUMETSAT, JMA, NOAA (NESDIS, NCEI STAR)

Univ. Wisconsin, Univ. Mass., Univ. Miami, Lulea Univ.,

NCAR, UKMO, RAL,…

CM SAF:

more than just a project OSI, O3, LSA, ROM, NWC, EUM


CM SAF CDRs


Facts (CDOP3) Covered time period: 1978 – 2019.

Area: global.

Spatial resolution: sensor resolution.

Parameters: brightness temperatures, EIA offsets, inter-calibration offsets, noise information.

Inter-calibration offsets also for AMSR-E, TMI, GMI and potentially AMSR2 to CM-SAF FCDR product family.

Highlights/ Improvements

Completely reprocessed data record, starting

from measured counts (SSM/I, SSMIS).

Scene dependent inter-sensor calibration to F11

via transfer targets F13 and F16 for SSMIS and

ERA-20C for SMMR.

Correction of moonlight-intrusions, sunlight-

intrusions, along-scan non-uniformity,

reflector emissivity.

Review geolocation.

FCDR MWI Fundamental Climate Data Record of Microwave

Imager Radiances from SMMR, SSM/I, and SSMIS.

Latest release, V003: SMMR 1978 – 1987 (Nimbus 7), SSM/I 1987 – 2008 (F08,F10,F11,F13,F14,F15), SSMIS 2006 – 2015 (F16, F17, F18).

DOI: 10.5676/EUM_SAF_CM/FCDR_MWI/V003 New release of the FCDR in CDOP3, covering the

period 1978-2019.

CM SAF: FCDR MWI


Facts (CDOP3)

Covered time period: 2002 – 2019.

Area: Global.

Spatial resolution: 1°x1° on regular latitude/

longitude grid.

Parameters: precipitation, uncertainty estimates.

Products are available as gridded daily and

monthly means in netCDF.

0,4Highlights/Improvements Maximum use of FCDRs, expertise in FCDR development.

Retrieval and merging methods developed within this group.

Uncertainty model available.

Traceability through control over full processing chain from Level 1 to Level 4 including uncertainty estimates.

Close cooperation with GPCC, OceanRAIN and others.

Expertise in the evaluation of precipitation products.

Sustained satellite operation, sustained core budget.

Global Precipitation Product Embedded in a joint European effort, based on a series of dedicated, international workshops.

Global, i.e., also beyond 60°N/S, climate precipitation product with full uncertainty characterisation.

Independent from dynamical models (e.g., NWP, reanalysis).

Demonstrator product will be ready in an early phase of CDOP3 (2017-2022).

A proof-of-concept product version V4 will be released in late CDOP3.

Dietzsch et al. (2017)

CM SAF: Global Precipitation Product


Operational Climate Monitoring

Concept of Climate data records &

operational climate monitoring

Introduction CM SAF

Examples of downstream services

in Europe (e.g. WMO RCC RA VI)

in US (e.g. drought monitoring)

Summary and conclusions


Ocean and Sea Ice SAF

http://osisaf.met.no/p/ice_extent_graphs.php

Sea Ice Extent Monitoring


Since the late 1990’s, the capability to monitor

and map key components of the hydrological

cycle have become possible using satellite

remote sensing because of:

1) the launch of many new sensors collecting

a wide array of Earth observations,

2) improved computing capabilities, and

3) more advanced modeling and analysis

techniques.

New Remote Sensing Instruments

Remote Sensing Estimates of:

New Directions in Remote Sensing of

Drought

Courtesy of B. Wardlow

(WMO CCl TT URSDCM)


Courtesy of

B. Wardlow

(WMO CCl TT

URSDCM)

Bureau of Land Management (BLM)

U.S. Drought Monitor (USDM)

New Mexico Drought Status Report

Arizona Drought Monitor Report National Weather Service Drought Reports

Usage of VegDRI

Other Examples: • Crop insurance companies

• Forest health/tree die-off research

• Wildfire monitoring and research


Thematic

Climate Data

Record

Interim

Climate Data Record

Long time series of

Essential Climate Variables

Regular & consistent

updates of TCDRs

Downstream Application; Example WMO Regional Climate Centre RA VI

http://www.dwd.de/rcc-cm


Operational

climate

monitoring

(examples)

Climate

information

records

(examples)

Products

by WMO RA VI RCC-CM

Means (Radiation) Anomalies (TCWV) Percentiles (CFC)

Climatologies (CFC) Hovmoeller (Radiation) Time series (Radiation)

Courtesy of Andre Obregon, DWD

A combined global precipitation data record with daily

resolution and uncertainty estimates (DOI:10.5676/DWD_CDC/HOGP_050(100/250)/V001)

Technical specifications

1988–2015 daily

1.0° and 2.5° global

0.5° Europe

Combined data record

Land: GPCC gauge data (Becker et

al., 2013)

Ocean: precipitation from HOAPS,

based on microwave observations

(Andersson et al., 2010a,b)

GPCC: Global Precipitation Climatology Centre (see

http://gpcc.dwd.de)

HOAPS: Hamburg Ocean Atmosphere Parameters and

Fluxes from Satellite data (see http://www.cmsaf.eu)

Global ETCCDI climatology ETCCDI: CCl/CLIVAR/JCOMM Expert Team (ET) on Climate Change Detection and

Indices.

First global (i.e. land and ocean) application using the DAPACLIP dataset (Dietzsch et

al., 2017, Climate, accepted).

Verification of hindcasts within the MiKlip project

MiKlip (Marotzke et al., 2016, BAMS,

accepted): medium-range climate

forecasts, funded by BMBF.

Model: MPI-ESM using GECCO2

Compare ETCCDI climatologies based on

DAPACLIP and hindcast from MPI-ESM.

Dominant feature in the bias: shift of the

ITCZ, in particular in the Pacific.

BMBF: German Ministry for Education and Research

MPI-ESM: Max-Planck-Institute Earth System Model

GECCO: German Estimation of the Circulation and Climate of

the Ocean

SWCEM Meeting, 15.-17.02.2017 Hollmann: Operational climate monitoring 22

Satellite Observation complement the surface

observation system supporting operational climate

monitoring

A sustained infrastructure is now in place (e.g. CM SAF)

or adressed

Also the downstream services have been set up (e.g.

RCC, C3S)

Scientific quality of (satellite) CDR’s has strongly evolved

in the last 5 years -> becoming suitable for operational

climate monitoring

In parallel ICDR’s are being generated and available

Both together allow for extreme monitoring

Operational Climate Monitoring - World … / in-situ data fusion Land Surface Temperature -CM (WMO)...

Documents

Transcript of Operational Climate Monitoring - World … / in-situ data fusion Land Surface Temperature -CM (WMO)...