Gap reference list

Gap reference list

This is the full list of gaps identified in GAIA-CLIM to date, with a SMART analysis of each gap. Details of how and when such SMART remedies may be addressed for each gap are included in the full descriptions. The gaps each have unique gap identifier numbers of the form: X.XX, and full descriptions can be found at gaia-clim.eu/wiki/gX.XX; or by following the links in the Gap Identifiers below. We encourage user-input on the gaps, so if you can update our knowledge on existing gaps, or you would like to suggest the inclusion of additional gaps, please contact us using the "feedback" link next to the relevant gap, or the feedback button in the given gap description. We encourage you to use our template for external input which can be found here. You can also provide feedback using the contact form, using the 'GAID feedback' category.

Below search function allows filtering the Catalogue of Gaps along different cross-section, e.g. the type of gap and sugested remedies, instrument technicque, ECVs, or the potential actors addressed.

 

Gap identifier

Gap name

Feedback

G1.03

Lack of internationally recognised framework for assessment of fundamental observation capabilities

Feedback

G1.04

Lack of a comprehensive review of current non-satellite observing capabilities for the study of ECVs in atmospheric, ocean and land domains

Feedback

G1.05

Lack of integrated user tools showing all the existing observing capabilities for measuring ECVs with respect to satellite spatial coverage

Feedback

G1.06

Currently heterogeneous metadata standards negatively impact data discoverability and usability

Feedback

G1.10

Relative paucity and geographical concentration of reference quality measurements, with limited
understanding of uncertainty in remaining measurements, limits ability to formally close satellite to non-satellite comparisons

Feedback

G2.06

Poor spatial coverage of high-quality multi-wavelength lidar systems capable of characterising aerosols

Feedback

G2.07

Lack of uptake of lidar measurements in data assimilation

Feedback

G2.08

Lack of a metrological rigorous approach for ensuring continuous long-term water vapour measurements from Raman lidars in the troposphere and UT/LS

Feedback

G2.10

Tropospheric ozone profile data from non-satellite measurement sources is limited and improved capability is needed to characterise new satellite missions

Feedback

G2.11

Lack of rigorous tropospheric ozone lidar error budget availability

Feedback

G2.12

Lack of rigorous temperature lidar error budget availability limits utility for applications such as satellite characterisation

Feedback

G2.13

Missing microwave standards maintained by national/international measurement institutes

Feedback

G2.18
Better agreement needed on systematic and random part of the uncertainty in FTIR measurements and how to evaluate each part

Feedback

G2.22 FTIR cell measurements carried out to characterize ILS have their own uncertainties

Feedback

G2.24
Lack of calibrated in-situ vertical profiles of CH4, CO2 and, CO for improving the accuracy of FTIR column and profile measurements of CH4, CO2and CO

Feedback

G2.26
Poorly understood uncertainty in ozone cross-sections used in the spectral fit for DOAS, MAX-DOAS and Pandora data analysis

Feedback

G2.27
Lack of understanding of random uncertainties, AMF calculations and vertical averaging kernels in the total ozone column retrieved by UV-visible  spectroscopy

Feedback

G2.30 Incomplete uncertainty quantification for Pandora ozone measurements

Feedback

G2.31 Incomplete understanding of the different retrieval methods, information
content, and random and systematic uncertainties of MAX-DOAS tropospheric ozone measurements

Feedback

G2.34
Limit in traceability of GNSS-IPW ZTD estimates owing to dependency on 3rd party software

Feedback

G2.36 Lack of traceable uncertainties in MWR measurements and retrievals

Feedback

G2.37
Poorly quantified uncertainties in spectroscopic information

Feedback

G3.01
Incomplete knowledge of spatiotemporal atmospheric variability at the scale of the measurements and their co-location

Feedback

G3.02
Missing standards for, and evaluation of, co-location criteria

Feedback

G3.04
Limited characterization of the multi-dimensional (spatiotemporal) smoothing and sampling properties of atmospheric remote sensing systems, and of the resulting uncertainties

Feedback

G3.05
Representativeness uncertainty assessment missing for higher-level data based on averaging of individual measurements

Feedback

G3.06
Missing comparison (validation) uncertainty budget decomposition including uncertainty due to sampling and smoothing differences

Feedback

G4.01
Lack of traceable uncertainty estimates for NWP and reanalysis fields & equivalent TOA radiances – relating to temperature and humidity

Feedback

G4.08 Estimates of uncertainties in ocean surface microwave radiative transfer

Feedback

G4.09 Imperfect knowledge of estimates of uncertainties in land surface microwave radiative transfer

Feedback

G4.10
Incomplete estimates of uncertainties in land surface infrared emissivity atlases

Feedback

G4.12 Lack of reference quality data for temperature in the upper stratosphere and mesosphere

Feedback

G5.01
Plethora of data portals serving data under distinct data policies in multiple formats for reference quality data inhibits their discovery, access and usage for applications such as satellite Cal/Val

Feedback

G5.06
Extraction, analysis and visualization tools to exploit the potential of reference measurements are currently only rudimentary

Feedback

G5.07 Incomplete development and/or application and/or docuemntation of an unbroken traceability chain of data manipulations for atmosperic ECV validation systems

Feedback

G5.09
Need to propagate various reference quality geophysical measurements and uncertainties to TOA radiances and uncertainties to enable robust characterisation of satellite FCDRs

Feedback

G5.11
Non-operational provision of reference measurement data and some (L2) satellite products may prevent use in Copernicus operational product monitoring

Feedback

G6.01
Dispersed governance of high-quality measurement assets leading to gaps and redundancies in capabilities and methodological distinctions

Feedback

G6.02 Geographically dispersed observational assets reduce their utility for satellite Cal/Val

Feedback

G6.03 Lack of sustained dedicated observations to coincide with satellite overpass to minimise co-location effects

Feedback

G6.06
Requirement to make reference-quality measurements on a sustained and continuous basis, to maximise opportunities for the validation of satellite L1and derived
higher level products

Feedback

G6.07 Different data policies in different networks harm the use of complementary data from different networks

Feedback

G6.12
Under-capacity of workforce to exploit satellite data and satellite characterisation

Feedback