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Dataset

 

ESA River Discharge Climate Change Initiative (RD_cci): Combined river discharge product, v1.0

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2024-11-28
DOI Publication Date: 2024-11-28
Download Stats: last 12 months
Dataset Size: 150 Files | 13MB

Abstract

This dataset contains river discharge (Q) data in cubic meters per second (m3/s) from the ESA Climate Change Initiative River Discharge project (RD_cci).

These river discharge time series have been computed at different locations by the combination of data derived from satellite altimeters and multispectral sensors. Two levels of combination are implemented based on the original products: Level-2, in which the data has been derived by merging multi-mission multispectral time series (called CM) and the water level product derived by radar altimeters (called Altimetry), and Level-3, in which the river discharge products obtained from altimeters and multispectral sensors are used. The river discharges are derived following several approaches:

1) L2 Merged river discharge:

a) COPULA Altimetry – CM: by a bivariate cumulative distribution function (CDF) which is applied between the multispectral indices and the water level from altimetry to get their joint probability distribution.

b) RIDESAT Altimetry - CM: by a three-parameter non-linear relationship that merges the multispectral indices and the water level from altimetry

2) L3 Merged river discharge:

a) Altimetry - CM cal_BestFIT: by the combination of river discharges obtained by the procedure of BestFIT applied to the multispectral and river discharges obtained by the altimetry through a weighted approach

b) Altimetry – CM cal_Copula: by the combination of river discharges obtained by the procedure of Copula applied to the multispectral and river discharges obtained by the altimetry through a weighted approach

c) Altimetry – CM uncal_CDF: by the combination of river discharges obtained by the procedure of CDF applied to the multispectral and the altimetry through a weighted approach

Citable as:  Tarpanelli, A.; Filippucci, P.; Sahoo, D.P. (2024): ESA River Discharge Climate Change Initiative (RD_cci): Combined river discharge product, v1.0. NERC EDS Centre for Environmental Data Analysis, 28 November 2024. doi:10.5285/d32244e674dd438ca4d321560daad755. https://dx.doi.org/10.5285/d32244e674dd438ca4d321560daad755
Abbreviation: Not defined
Keywords: river discharge, CCI

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s):
https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_river_discharge_terms_and_conditions.pdf
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).

Data Quality:
For information on data quality see the project documentation
File Format:
Data are in both CSV and NetCDF format

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Computation Element: 1

Title Derivation of the ESA River Discharge Climate Change Initiative (RD_cci): combined river discharge product, v1.0
Abstract These river discharge time series have been computed at different locations by the combination of data derived from satellite altimeters and multispectral sensors. Two levels of combination are implemented based on the original products: Level-2, in which the data has been derived by merging multi-mission multispectral time series and radar altimeters water level product and Level-3, in which the river discharge products obtained from altimeters and multispectral imagers are used. The river discharges are derived following several approaches: 1) L2 Merged river discharge: a) COPULA Altimetry – CM: by a bivariate cumulative distribution function (CDF) which is applied between the multispectral indices and the water level from altimetry to get their joint probability distribution. b) RIDESAT Altimetry - CM: by a three-parameter non-linear relationship that merges the multispectral indices and the water level from altimetry 2) L3 Merged river discharge: a) Altimetry - CM cal_BestFIT: by the combination of river discharges obtained by the procedure of BestFIT applied to the multispectral and river discharges obtained by the altimetry through a weighted approach b) Altimetry – CM cal_Copula: by the combination of river discharges obtained by the procedure of Copula applied to the multispectral and river discharges obtained by the altimetry through a weighted approach c) Altimetry – CM uncal_CDF: by the combination of river discharges obtained by the procedure of CDF applied to the multispectral and the altimetry through a weighted approach
Input Description None
Output Description None
Software Reference None
Output Description

None

No variables found.

Coverage
Temporal Range
Start time:
1992-12-24T00:00:00
End time:
2023-09-30T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°