Joining participatory approach and spatially-based modelling tools for groundwater resource management.

Although a lot of science has been produced on Water Resource Management (WRM) in the Information and Communication Technology (ICT) sector, WRM is still poorly addressed via scientific means. Some reasons for this may be: the underrated importance given to this topic at political and decision-making level; the low-capacity of the research environment to transfer results; and missing numerical modelling capacities at agencies and governing authorities. ICT may provide tools for water planning and management, as discussed within the ICT4WATER cluster initiative. Among these, GIS-integrated numerical modeling is a robust method to represent hydrological systems and to provide answers to problems of protection of groundwater resources. Because these tools require a high level of knowledge pertaining to various disciplines, they are often disregarded as complex “tricky games” providing unrealistic results. This is a barrier to the uptake of technologies for water management. To overcome this issue, the application of ICT tools has been combined with an innovative participatory approach, and large capacity building activities, in the framework of the H2020 FREEWAT project (FREE and open source software tools for WATer resource management; www.freewat.eu). The major result of the project consists in an open source and public domain, QGIS-integrated modeling platform for promoting WRM. FREEWAT capabilities have been demonstrated at 14 case studies in EU and non-EU Countries, where the effectiveness of few measures foreseen in River Basin Management Plans for achieving good status of water bodies was tested. At each case study, a Focus Group (FG) participated by local stakeholders (e.g., river basin authorities, research institutions, environmental protection agencies, environmental associations) was formed and seven meetings were organized. During these meetings, the objective of each case study, the methodology to be adopted, including definition of the conceptual model and of data needed, were discussed. The FG also took decisions on scenarios to be simulated for testing the feasibility of the foreseen measures. FGs aimed at demonstrating that WRM may be performed with open source and public domain software and participants’ perception on using ICT tools for WRM was discussed. Some of the implemented models are now being used for operational purposes: Vrbansky plato (Slovenia), where FREEWAT is used to monitor remediation of heating oil spillage and the water supply company intends to maintain and use developed groundwater flow model for managed groundwater recharge with induced riverbank filtration; the Bremerhaven case study (Germany), where the local water authority intends to use the developed groundwater flow model for predictions; the Scarlino-Follonica case study (Italy), where the model will be used by the regional authority to manage private groundwater remediation projects in a large industrial contaminated site; the Gozo case study (Malta), where the model is being developed to support the assessment of good groundwater quantitative status as part of the implementation of the Water Framework Directive

Review and assessment of latent and sensible heat flux accuracy over the global oceans

For over a decade, several research groups have been developing air-sea heat flux information over the global ocean, including latent (LHF) and sensible (SHF) heat fluxes over the global ocean. This paper aims to provide new insight into the quality and error characteristics of turbulent heat flux estimates at various spatial and temporal scales (from daily upwards). The study is performed within the European Space Agency (ESA) Ocean Heat Flux (OHF) project. One of the main objectives of the OHF project is to meet the recommendations and requirements expressed by various international programs such as the World Research Climate Program (WCRP) and Climate and Ocean Variability, Predictability, and Change (CLIVAR), recognizing the need for better characterization of existing flux errors with respect to the input bulk variables (e.g. surface wind, air and sea surface temperatures, air and surface specific humidities), and to the atmospheric and oceanic conditions (e.g. wind conditions and sea state). The analysis is based on the use of daily averaged LHF and SHF and the asso- ciated bulk variables derived from major satellite-based and atmospheric reanalysis products. Inter-comparisons of heat flux products indicate that all of them exhibit similar space and time patterns. However, they also reveal significant differences in magnitude in some specific regions such as the western ocean boundaries during the Northern Hemisphere winter season, and the high southern latitudes. The differences tend to be closely related to large differences in surface wind speed and/or specific air humidity (for LHF) and to air and sea temperature differences (for SHF). Further quality investigations are performed through comprehensive comparisons with daily-averaged LHF and SHF estimated from moorings. The resulting statistics are used to assess the error of each OHF product. Consideration of error correlation between products and observations (e.g., by their assimilation) is also given. This reveals generally high noise variance in all products and a weak signal in common with in situ observations, with some products only slightly better than others. The OHF LHF and SHF products, and their associated error characteristics, are used to compute daily OHF multiproduct-ensemble (OHF/MPE) estimates of LHF and SHF over the ice-free global ocean on a 0.25° × 0.25° grid. The accuracy of this heat multiproduct, determined from comparisons with mooring data, is greater than for any individual product. It is used as a reference for the anomaly characterization of each individual OHF product

Global imprint of climate change on marine life

Past meta-analyses of the response of marine organisms to climate change have examined a limited range of locations, taxonomic groups and/or biological responses. This has precluded a robust overview of the effect of climate change in the global ocean. Here, we synthesized all available studies of the consistency of marine ecological observations with expectations under climate change. This yielded a meta-database of 1,735 marine biological responses for which either regional or global climate change was considered as a driver. Included were instances of marine taxa responding as expected, in a manner inconsistent with expectations, and taxa demonstrating no response. From this database, 81-83% of all observations for distribution, phenology, community composition, abundance, demography and calcification across taxa and ocean basins were consistent with the expected impacts of climate change. Of the species responding to climate change, rates of distribution shifts were, on average, consistent with those required to track ocean surface temperature changes. Conversely, we did not find a relationship between regional shifts in spring phenology and the seasonality of temperature. Rates of observed shifts in species' distributions and phenology are comparable to, or greater, than those for terrestrial systems

The IPWG satellite precipitation validation effort

The estimation of precipitation (rainfall and snowfall) across the Earth’s surface is important for both science and user applications, ranging from understanding and improving our knowledge of the global energy and water cycle, to water resources and hydrological modelling, and to societal applications such as water availability and monitoring of waterborne diseases (see Kirschbaum DB, Huffman GJ, Adler RF, Braun S, Garrett K, Jones E, McNally A, Skofronick-Jackson G, Stocker E, Wu H, Zaitchik BF, Bull Am Meteorol Soc 98:1169–1194, 2017). The global mapping of precipitation through conventional means is essentially limited to land areas due to the reliance upon rain (and snow) gauges and/or radar (see Kidd C, Becker A, Huffman GJ, Muller CL, Joe P, Skofronick-Jackson G, Kirschbaum DB, Bull Am Meteorol Soc 98:69–78, 2017a). For truly global precipitation mapping satellite observations must be used. A range of techniques, algorithms and schemes have been developed to exploit these satellite observations and generate quantitative precipitation products, many with (quasi-) global coverage. Alongside these techniques, there is a need for the inter-comparison, verification, and validation of such products in order to quantify their accuracy and performance (and consistency) for both developers and users. The International Precipitation Working Group (IPWG) has supported a long-term effort to inter-compare and validate precipitation products through the exploitation of large-scale regional surface reference data sets. Here, we present the current and future validation efforts of the IPWG together with examples of satellite-surface inter-comparisons

The Hazard Exposure of the Maltese Islands

International comparisons of disaster risk frequently classify Malta as being one of the least hazard exposed countries. Such rankings may be criticised because: (1) they fail to take into account historic increases in population and its seasonal variation; (2) they are based on inadequately researched and incomplete historical catalogues of damaging events and (3), for small island states like Malta, they do not take into account the implications of restricted land area, which can be disproportionately impacted by even small hazardous events. In this paper, we draw upon a variety of data to discuss disaster risk in the Maltese Islands. In particular, the notion that Malta is one of the ‘safest places on earth’ is not only misleading, but also potentially dangerous because it engenders a false sense of security amongst the population. We argue that Malta is exposed to a variety of extreme events, that include: the distal effects of major earthquakes originating in southern Italy and Greece, plus their associated tsunamis; major ash producing eruptions of Mount Etna (Sicily), and their putative impacts on air transport; storm waves; coastal/inland landslides; karstic collapse; flooding and drought. In criticising international rankings of the islands’ exposure, we highlight the issues involved in formulating hazard assessments, in particular incomplete catalogues of extreme natural events. With Malta witnessing swelling resident, seasonal (i.e. tourist) plus foreign-born populations, and increases in the urban area, further research into hazards is required in order to develop evidence-based policies of disaster risk reduction (DRR)