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Reference ID

Document

RD.1

Global Climate Observing System (2016) THE GLOBAL OBSERVING SYSTEM FOR CLIMATE: IMPLEMENTATION NEEDS, GCOS-200, https://library.wmo.int/doc_num.php?explnum_id=3417

RD.2

Merchant, C. J., Paul, F., Popp, T., Ablain, M., Bontemps, S., Defourny, P., Hollmann, R., Lavergne, T., Laeng, A., de Leeuw, G., Mittaz, J., Poulsen, C., Povey, A. C., Reuter, M., Sathyendranath, S., Sandven, S., Sofeiva, V. F. and Wagner, W. (2017) Uncertainty information in climate data records from Earth observation. Earth System Science Data, 9 (2). pp. 511-527. ISSN 1866-3516 doi: https://doi.org/10.5194/essd-9-511-2017

RD.3

Preimesberger W. et al. (2023). C3S Soil Moisture Version v202212: Product User Guide and Specification. Document ref:  C3S2_312a_Lot4.WP2-FDDP-SM-v1_202212_SM_PUGS-v4_i1.1

RD.4

R. de Jeu, R. van der Schalie, C. Paulik, W. Dorigo, T. Scanlon, A. Pasik, W. Preimesberger, R.  Kidd, C. Reimer, 2021. C3S D312b Lot 4 D1.SM.2-v3.0. Algorithm Theoretical Basis Document (ATBD): Soil Moisture.

RD.5

Preimesberger W. et al. (2022) C3S Soil Moisture Version v202212: Product Quality Assurance Document. Document ref: C3S2_312a_Lot4.WP2-PDDP-SM-v1_202206_SM_PQAD-v4_i1.1

RD.6

Preimesberger W. et al. (2023). C3S Soil Moisture Version v202212: Product Quality Assessment Report. Document ref:  C3S2_312a_Lot4.WP2-FDDP-SM-v1_202212_SM_PQAR-v4_i1.2

RD.7

ATBD CCI Soil Moisture: ATBD CCI: ESA Climate Change Initiative Plus, Soil Moisture, Algorithm Theoretical Baseline Document (ATBD), Supporting Product Version 06.1, D2.1 Version 2, 19-04-2021, See https://www.esa-soilmoisture-cci.org/sites/default/files/documents/public/CCI%20SM%20v06.1%20documentation/ESA_CCI_SM_RD_D2.1_v2_ATBD_v06.1_issue_1.1.pdf

RD.8

PUG CCI Soil Moisture: ESA Climate Change Initiative Plus, Soil Moisture Product User Guide (PUG), Supporting Product Version v06.1, Deliverable ID: D4.2 Version 2, 16-04-2021. See https://admin.climate.esa.int/media/documents/ESA_CCI_SM_D4.2_v2_Product_Users_Guide_v06.1_i1.0.pdf

RD.9

Climate Modelling User Group [CMUG] - D1.1: Climate Community Requirements (2020). See https://www.climate.esa.int/media/documents/CMUG_Baseline_Requirements_D1.1_v2.2_EUBGoPz.pdf

RD.10

Soil Moisture Product Validation Good Practices Protocol - NASA/TP– 20210009997 (2021). See https://ntrs.nasa.gov/api/citations/20210009997/downloads/TP-20210009997%20CEOS_SM_LPV_Protocol_V1_20201027_Bindlish_final.pdf


Acronyms

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Acronym

Definition

AMI-WS

Active Microwave Instrument - Windscat (ERS-1 & 2)

AFRL

Air Force Research Laboratory

AMI

Active Microwave Instrument

AMSR2

Advanced Microwave Scanning Radiometer 2

AMSR-E

Advanced Microwave Scanning Radiometer-Earth Observing System

ASCAT

Advanced Scatterometer (MetOp)

ATBD

Algorithm Theoretical Baseline Document

ATSR-2

Along Track Scanning Radiometer 2

C3S

Copernicus Climate Change Service

CAS

Chinese Academy of Sciences

CCI

Climate Change Initiative

CCI+

Climate Change Initiative Plus

CDF

Cumulative Distribution Function

CDR

Climate Data Record

CDS

Climate Data Store

CEOS

Committee on Earth Observation Satellites

CF

Climate Forecast

CIMR

Copernicus Imaging Microwave Radiometer

CMA

China Meteorological Administration

CNES

Centre national d'études spatiales

DMSP

Defense Meteorological Satellite Program

DOD

Department of Defense

ECMWF

European Centre for Medium-Range Weather Forecasts

ECV

Essential Climate Variable

EODC

Earth Observation Data Centre for Water Resources Monitoring

ERS

European Remote Sensing Satellite (ESA)

ESA

European Space Agency

ESGF

Earth System Grid Federation

EUMETSAT

European Organisation for the Exploitation of Meteorological Satellites

FAO

Food and Agriculture Organization

FPIR

Full-polarized Interferometric synthetic aperture microwave radiometer

FTP

File Transfer Protocol

GCOM

Global Change Observation Mission

GCOS

Global Climate Observing System

GDS

Glacier Distribution Service

GHRSST

Group for High Resolution Sea Surface Temperature

GMI

GPM Microwave Imager (GMI)

GLDAS

Global Land Data Assimilation System

GPM

Global Precipitation Mission

H-SAF

Hydrological Satellite Application Facility (EUMETSAT)

ICDR

Interim Climate Data Record

IFREMER

Institut Français de recherche pour l'exploitation de la mer

IPCC

Intergovernmental Panel on Climate Change

ISRO

Indian Space Research Organisation

JAXA

Dokuritsu-gyosei-hojin Uchu Koku Kenkyu Kaihatsu Kiko, (Japan Aerospace Exploration Agency)

KPI

Key Performance Indicators

L2

Retrieved environmental variables at the same resolution and location as the level 1 (EO) source.

L3

Level 3

LPRM

Land Parameter Retrieval Model

LPV

Land Product Validation

LST

Local Sidereal Time

LSWT

Lake Surface Water Temperature

MetOp

Meteorological Operational Satellite (EUMETSAT)

MetOp SG

Meteorological Operational Satellite - Second Generation

MIRAS

Microwave Imaging Radiometer using Aperture Synthesis

MWRI

Micro-Wave Radiation Imager

NASA

National Aeronautics and Space Administration

NED

National Elevation Data

NetCDF

Network Common Data Format

NOAA

National Oceanic and Atmospheric Administration

NRL

Naval Research Laboratory

NRT

Near Real Time

OE

Optimal Estimation

PMI

Polarized Microwave radiometric Imager

PQAD

Product Quality Assurance Document

PQAR

Product Quality Assessment Report

PUG

Product User Guide

QA4ECV

Quality Assurance for Essential Climate Variables

QA4SM

Quality Assurance for Soil Moisture

RFI

Radio Frequency Interference

ROSE-L

Radar Observation System for Europe in L-band

RMSE

Root Mean Square Error

SAF

Satellite Application Facilities

SAR

Synthetic Aperture Radar

SCA

Scatterometer

SNR

Signal to Noise Ratio

SMAP

Soil Moisture Active and Passive mission

SMMR

Scanning Multichannel Microwave Radiometer

SMOS

Soil Moisture and Ocean Salinity (ESA)

SSM

Surface Soil Moisture

SSM/I

Special Sensor Microwave Imager

SSMIS

Special Sensor Microwave Imager / Sounder

SST

Sea Surface Temperature

TCA

Triple Collocation Analysis

TM

Thematic Mapper

TMI

TRMM Microwave Imager

TRMM

Tropical Rainfall Measuring Mission

TU

Technische Universität

TU Wien

Vienna University of Technology

URD

User Requirements Document

UTC

Universal Time Coordinate

VOD

Vegetation Optical Depth

WARP

Water Retrieval Package

WCOM

Water Cycle Observation Mission

WGS

World Geodetic System

WindSat

WindSat Radiometer


General definitions

Active (soil moisture) retrieval: the process of modelling soil moisture from radar (scatterometer and synthetic aperture radar) measurements. The measurand of active microwave remote sensing systems is called “backscatter”.

...

Table 1: List of Soil Moisture Products

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Data Product

Data Record

Temporal Aggregation

ACTIVE

CDR

Daily

Dekadal

Monthly

ICDR

Daily

Dekadal

Monthly

PASSIVE

CDR

Daily

Dekadal

Monthly

ICDR

Daily

Dekadal

Monthly

COMBINED

CDR

Daily

Dekadal

Monthly

ICDR

Daily

Dekadal

Monthly

User Requirements

The aim of C3S Soil Moisture is to provide data that meets the accuracy requirements set by GCOS-200 [RD.1]3, while staying in line with community requirements on data coverage, format, provision system and metadata.

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Table 2: Summary of C3S ECV Soil Moisture requirements showing target requirements.

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Requirement

Target

Source

Product Specification

Variable of interest

Surface Soil Moisture

GCOS-200

Unit

Volumetric (m³/m³)

GCOS-200, CMUG, [RD.10]

Product aggregation

L2 single sensor and L3 merged products

CMUG

Spatial resolution

1-25 km

GCOS-200

Record length

>30-35 years

CMUG

Frequency

Daily

GCOS-200

Product accuracy

0.04 m³/m³

GCOS-200

Product stability

0.01 m³/m³/y

GCOS-200

Quality flags

Should be provided with observations

Gruber et al. (2020)

Uncertainty

Estimates should be provided for each observation

CMUG

Format Specification

Product spatial coverage

Global

CMUG

Product update frequency

Regular updates <1 month, resp.
Reprocessed Climate records e.g. 1 / year

CMUG

Product format

Daily images, Monthly mean images

CMUG, C3S

Grid definition

0.25°

CMUG

Projection or reference system

Projection: Geographic lat/lon

Reference system: WGS84

CMUG

Data format

NetCDF

CMUG

Data distribution system

FTP, Web access, WMS, WCF, WFS, OpenDAP

CMUG

Metadata standards

CF, obs4mips

CMUG

Quality standards

QA4ECV

[RD.10], Gruber et al. (2020)

Gap Analysis

This section provides a Gap Analysis for the soil moisture product. The purpose of this section is to describe the opportunities, or obstacles, to the improvement in quality and fitness-for-purpose of the Soil Moisture CDR. In this section we address the data availability from existing space-based observing systems; development of processing algorithms; methods for estimating uncertainties; scientific research needs; and opportunities for exploiting the new generation of Sentinel satellites.

...

Table 4: Historical, current and envisaged radiometers suitable for soil moisture retrievals

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Satellite Sensor

Provider

Operation
period

Used freq.

Extra information

SMMR

NASA

1978-1987

18.7 GHz

Scanning Multichannel Microwave Radiometer data is used for the earliest periods of the C3S soil moisture record.

SSMI, SSMIS

NASA, DoD

Since 1991

18.7 GHz

Onboard satellites from the Defence Meteorological Satellite Program (DMSP), however with the latest satellite DMSP-F19 failing and only F16, F17 and F18 available but functioning past their expected lifetime, continuation is currently at risk. Also 18.7 GHz is not the preferred frequency of operation for soil moisture retrievals.

AMSRE

NASA

2002-2011

6.9, 7.3, 10.7 GHz

Onboard the Aqua satellite. Predecessor mission to AMSR-2.

WindSat

NRL, AFRL, DoD

Since 2003

6.6, 10.7 GHz

Onboard the Coriolis satellite of the US military. Access to raw data (brightness temperature data) is therefore restricted. C3S soil moisture uses measurements between 2007 and 2012 only. 

SMOS MIRAS

ESA

Since 2009

1.4 GHz

First L-band mission for soil moisture retrievals. Functioning properly but the design life was three years with a goal of five years. Part of the current CDR and ICDR.

AMSR2

JAXA

Since 2012

6.9, 7.3, 10.7 GHz

Based on the AMSR-E sensor on the AQUA mission. AMSR2 is a sensor on the GCOM-W1 satellite. Still functioning properly, follow up is expected in 2023 with the launch of GCOM-W2. After that, GCOM-W3 is still uncertain and under discussion. Soil moisture derived from AMSR2 is part of the current CDR and ICDR.

GMI

NASA

Since 2014

10.7 GHz

Part of the Global Precipitation Mission (GPM) satellite. Coverage only between 65°N and 65°S. Lower frequencies than that of GMI  are preferred for soil moisture retrievals. This sensor is included in the current version of ESA CCI SM (v07.1) and therefore planned for inclusion into C3S soil moisture as an operational sensor.

SMAP

NASA

Since 2015

1.4 GHz

Latest L-band mission specifically designed for soil moisture retrievals. Although the radar failed shortly after launch, the radiometer is functioning well. A SMAP based soil moisture product is integrated since C3S soil moisture CDR/ICDR v3. In the first instance, the lifetime expectancy of the mission was 3 years.

FengYun-3B

FengYun-3C

FengYun-3D

CAS

CAS

CAS

2011-2021

Since 2013

Since 2019

10.7, 18.7 GHz

10.7, 18.7 GHz

10.7, 18.7 GHz

This series of meteorological satellites is launched by the Chinese space agency. Soil Moisture information is derived from X- and Ku-band measurements (only the more reliable X-band data is used in C3S soil moisture). New FengYun satellites are launched regularly but are at the moment only applicable for inclusion in the C3S soil moisture CDR, not the ICDR, due to NRT access restrictions.

AMSR3

JAXA

2023-2030

6.9, 7.3, 10.25, 10.7 GHz

Follow-up mission to AMSR2 with similar capabilities. Measures additional X-band frequency compared to predecessor.

FengYun-3F

FengYun-3G

FengYun-3H

FengYun-3I

CAS

CAS

CAS

CAS

2022-2028

2023-2027

2023-2029

2026-2034

10.7, 18.7 GHz

10.7, 18.7 GHz

10.7, 18.7 GHz

10.7, 18.7 GHz

Currently planned Chinese Academy of Sciences (CAS) missions that can potentially be included in C3S soil moisture.
Note that FengYun-3E does not carry a MWRI and is therefore not applicable for C3S soil moisture.

MWI

EUMETSAT

2024

18.7 GHz

Microwave Imager similar to SSMIS on board the MetOp-SG B satellites. First satellite to be launched in 2024.

CIMR

ESA

~2028-2033 (under development)

L-, C-, X-, Ka-, Ku-bands

“The Copernicus Imaging Microwave Radiometer (CIMR) mission is currently being developed as a High Priority Copernicus Mission.  Its characteristics go beyond what previous microwave radiometers (e.g. AMSR series, SMAP and SMOS) provide, and therefore allow for entirely new approaches to the estimation of bio-geophysical products from brightness temperature observations. Most notably, CIMR channels […] are very well fit for the simultaneous retrieval of soil moisture and vegetation properties” (Piles et al., 2021)

WCOM, FPIR and PMI

CAS

Undefined

6.6 – 150 GHz

The payload of the Water Cycle Observation Mission (WCOM) satellite includes an L-S-C tri-frequency Full-polarized Interferometric synthetic aperture microwave radiometer (FPIR) and a Polarized Microwave radiometric Imager (PMI) covering 6.6 to 150 GHz. This wide range of simultaneous observations will provide a unique tool for research on soil moisture retrieval algorithms. The future accessibility of the data outside of China is however uncertain.

Combined

Due to the wide range of satellites (both active and passive) currently available and in development for the upcoming decade, and the flexibility of the system as explained by the merging strategy in the C3S ATBD [RD.4] (Chapter “Merging strategy”), there is a negligible risk concerning the extension of the COMBINED product into the future. Furthermore, the quality that has been achieved is expected to be maintained or improved during the upcoming years through a set of initiatives described in the ATBD CCI [RD.7] such as the successful integration of FengYun, GPM and ASCAT-C, the inclusion of daytime observations and various other algorithmic updates.

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Table 5: Summary of C3S Soil Moisture requirements proposed by the consortium (shown in Table 2), specifications of the current C3S products, and whether the requirements are met.

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cdsapp#!dataset/api-

Requirement

Target

C3S Soil Moisture Products

Comment

Status

Product Specification

Parameter of interest

Surface Soil Moisture (SSM)

Surface Soil Moisture

In addition to Surface Soil Moisture, GCOS provides requirements for Root-zone soil moisture, which is currently not included in C3S Soil Moisture.

Achieved

Unit

Volumetric (m³/m³)

Volumetric [m³/m³] passive merged product, combined active +passive merged product; [% of saturation] active merged product

Conversion between volumetric units and % saturation is possible using soil porosity information.

Achieved

Product aggregation

L2 single sensor and L3 merged products

L3 merged active, merged passive, and combined active + passive products

C3S Soil Moisture aims to provide merged products only.

Achieved

Spatial resolution

1-25 km

0.25° (~25 km)

C3S Soil moisture is provided on a regular lat/lon grid. Pixel size in kilometres therefore varies with latitude.

Achieved

Record length

>30-35 years

>43 years (1978/11 - present)

Not strictly required by CMUG. CMUG only states, that datasets of that length cover a period long enough for climate monitoring.

Achieved

Revisit time

Daily

Daily

CMUG is highlighting the added value of sub-daily observations for special process studies, but also state that monthly observations are sufficient for some applications (e.g. trend monitoring).

Achieved

Product accuracy

0.04 m³/m³



Variable (0.04-0.10 m³/m³), depending on land cover and climate (current assessment for various climates, land covers and texture classes based on in-situ data shows accuracy to be < 0.1 m³/m³)

Relative to (in situ) reference data. Based on estimates of unbiased root-mean-square-difference (see Gruber et al. (2020) and [RD.10]).

Approached

Product stability

0.01 m³/m³/y

0.01 m³/m³/y

No formal guidelines exist yet on how to best validate the stability of merged soil moisture products over time.

Achieved, but no formal guidelines followed

Quality flags

Should be provided with observations

Quality flags provided: Frozen soils, dense vegetation, no convergence in retrieval, physical bounds exceeded, weights of measurements below threshold, all datasets unreliable, barren ground

C3S soil moisture is not provided when quality flags are raised (flagging of deserts as an exception). Most, flags are therefore only informational. This is to simplify using the data.

Achieved

Uncertainty

Daily estimate, per pixel

Daily estimate, per pixel

Uncertainty estimates are derived from triple collocation and gap filled using vegetation density information.


Achieved

Format Specification

Product spatial coverage

Global

Global

Only land points, Antarctica excluded, permanent gaps for tropical forests.

Achieved

Product update frequency

Monthly to annual

10-20 days (ICDR), and 12 monthly (CDR)

10-daily chunks are processed with a 10 day delay (ICDR). Monthly averages only computed for completed months.

Achieved

Product format

Daily images, Monthly mean images

Daily images, dekadal (10-day) mean, monthly mean images

No threshold for minimum number of observations per dekad / month is set.

Achieved

Grid definition

0.25°

0.25°

Regular sampled grid in latitude and longitude dimension.

Achieved

Projection or reference system

Projection: Geographic lat/lon

Reference system: WGS84

Projection: Geographic lat/lon

Reference system: WGS84


Achieved

Data format

NetCDF

NetCDF 4

Each time stamp (day/dakad/month) is provided as an individual file.

Achieved

Data distribution system

FTP, WMS, WCF, WFS, OpenDAP

Data is distributed through the Climate Data Store (CDS) at https://cds.climate.copernicus.eu/

datasets/

10.24381/cds.d7782f18

Programmatic access via CDS API possible (see https://cds.climate.copernicus.eu/

how-to-api)

Achieved

Metadata standards

CF, obs4mips

NetCDF Climate and Forecast (CF 1.7) Metadata Conventions; ISO 19115, obs4mips (distributed separately through ESGF)


Achieved

Quality standards

QA4ECV

QA4ECV and QA4SM standards and best practices implemented and verified.

Following best practice guidelines (Gruber et al. (2020) and [RD.10]).

Achieved

Computation of accuracy (and stability) metrics requires the use of independent reference data at the moment. In situ measurements of soil moisture are harmonised and distributed by the International Soil Moisture Network4. However, it is known that accuracy assessment of satellite measurements using in situ data is affected by the uneven distribution of in situ data and the presence of representativeness errors, which inflate the differences between the satellite and ground measurements (Dorigo et al., 2021). It is also expected that the accuracy of soil moisture retrieval varies, depending on factors such as vegetation density or surface geometry (summarised as differences in land cover). While GCOS-200 targets are expressed as single values, the accuracy goals of C3S Soil Moisture are therefore evaluated separately for different land cover classes and are expected to vary between 0.04 and 0.1 m3/m3. Higher accuracy is expected on homogeneous surfaces (e.g. crop- and grasslands) while larger discrepancies are expected for densely vegetated and mountainous regions and urban areas.

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