Stewardship Maturity Assessment Tools for Modernization of Climate Data Management

Abstract

High quality and well-managed climate data are the cornerstone of all climate services. Consistently assessing how well the data are managed is one way to establish or demonstrate the trustworthiness of the data. This paper presents the World Meteorological Organization's (WMO) Stewardship Maturity Matrix for Climate Data (SMM-CD) and the subsidiary SMM-CD for National and Regional Purposes (SMM-CD_NRP). Both these matrices have been developed with the support of the WMO and its High-Quality Global Data Management Framework for Climate (HQ-GDMFC). These self-assessment tools enable data managers to discover WMO recommended data stewardship practices, determine a roadmap for future development and improvement, as well as compare their process against other data providers. Datasets which have been maturity assessed are included in the WMO Climate Data Catalogue, where users can include the results of these maturity assessments into their decisionmaking process. The SMM-CD contains four categories (data access, usability and usage, quality management, and data management) each of which has a number of aspects, with scores assigned to one of five levels. A smaller number of categories in the SMM-CD_NRP are assigned to four levels appropriate for operationally produced datasets which are national or regional in scope. We explore a number of case studies where these matrices have been applied, as well as supply links to where the Guidance Documents and Assessment Templates (which may be updated) can be found.

Modeling the Semivariogram of Climatic Scenario around Rivers by Using Stream Network Mapping and Hydrological Indicator

“…When the metals are triggered from the ore fluids via various techniques for examples pH variation, cooling, and mixing with other fluids, then zinc react with the river water and discharges hydrogen that oxidizes with oxygen explosively, which can in turn add an undesirable flavour to water. Whereas lead ensue where water has excessive acidity or small quantity that oxidizes [12,22]. For nickel the natural origins include wind-propelled dust drawn from eroding of rocks as well as soils, forest fires and volcano deeds.…”

“…After the application of diverse models on every water quality variable, the decisive factor for decide on the best model is that mean homogeneous error must close to 0, root mean square error as well as average standard error must be insignificant and nigh to one another and the root mean square homogenous error must also be close to 1 [12,17]. Based on the above principle, the stable model was carefully chosen as the best fit model for every designated water quality test variable.…”

“…Dissipations of drought and overflowing or flooding will become more frequent, producing dislodgment of neighborhoods and disputes arising from land tussles [10,11]. Because billions of people rely on these glaciers for household and drinking water [6,7], hygiene, farming, and hydroelectric power, the impact on these people is only going to get worse [12][13][14]. Climate changeability has also resulted in widespread temperature increases, which have serious consequences for water supplies and bionetwork functions, as well as health risks for those living in coastal zones [15,16].…”

Copernicus Sea Level Space Observations: A Basis for Assessing Mitigation and Developing Adaptation Strategies to Sea Level Rise

“…A dedicated stewardship maturity matrix is used to evaluate if the production of a data record follows best practices for specific aspects and facilitation of usage (with a maximum grade of 5). The tool is an essential part of ensuring and improving the way datasets are documented, preserved, and disseminated to users (Peng et al, 2019;Dunn et al, 2021). It also enables data providers to determine a roadmap for future development and improvement, as well as compare their process against other data providers.…”

“…The WMO stewardship maturity matrix has been used to assess the altimeter sea level Climate Data Record produced and distributed by C3S (Dunn et al, 2021). In terms of "Data Access" (ability to find and obtain the dataset), the grade is 5 for the "Discoverability" aspect since the dataset is searchable and easily available through the online institutional C3S catalog and 4.5 for "Accessibility" due to the Climate Data Store interface and the associated toolbox (no spatial subsetting is possible when downloading the data and all variables have to be downloaded together).…”