scholarly journals EuCLIS – a web based European climate information system

2007 ◽  
Vol 1 (1) ◽  
pp. 9-13
Author(s):  
P. Bissolli
Keyword(s):  
Information System ◽  
Distribution System ◽  
Regional Climate ◽  
Support Network ◽  
Climate Information ◽  
Metadata Standard ◽  
European Climate ◽  
Climate Monitoring ◽  
Hydrological Services ◽  
Monitoring Information

Abstract. The German Meteorological Service (Deutscher Wetterdienst) is presently developing a European climate information system (EuCLIS) which is presented here. The aim of this system is to distribute climate monitoring information of the area of the WMO (World Meteorological Organisation) Region VI (Europe and the Middle East) via the web. EuCLIS will be the successor of the already existing platform GCMP (Generate Climate Monitoring Products) which emerged from a project of the ECSN (European Climate Support Network). Climate monitoring information can be all kind of maps, diagrams and texts describing the variability of climate variables in space and time. It can be provided by the public national meteorological and hydrological services of all countries of the WMO Region VI. The main advantage is to have one common efficient climate monitoring distribution system for the whole Region, but the individual meteorological and hydrological services have the possibility to administrate their products on their own. EuCLIS considers the WMO metadata standard and modern web portal technology. In an advanced state, EuCLIS is intended to be used as a platform for a function of a Regional Climate Centre for Climate Monitoring which is currently planned at the WMO.

scholarly journals Satellite-based climate information within the WMO RA VI Regional Climate Centre on Climate Monitoring

2014 ◽  
Vol 11 (1) ◽  
pp. 25-33 ◽  
Author(s):  
A. Obregón ◽  
H. Nitsche ◽  
M. Körber ◽  
A. Kreis ◽  
P. Bissolli ◽  
...  
Keyword(s):  
Regional Climate ◽  
Regional Scale ◽  
European Space Agency ◽  
Environmental Data ◽  
Product Portfolio ◽  
Climate Information ◽  
Climate Data ◽  
Climate Services ◽  
Climate Monitoring ◽  
The World

Abstract. The World Meteorological Organization (WMO) established Regional Climate Centres (RCCs) around the world to create science-based climate information on a regional scale within the Global Framework for Climate Services (GFCS). The paper introduces the satellite component of the WMO Regional Climate Centre on Climate Monitoring (RCC-CM) for Europe and the Middle East. The RCC-CM product portfolio is based on essential climate variables (ECVs) as defined by the Global Climate Observing System (GCOS), spanning the atmospheric (radiation, clouds, water vapour) and terrestrial domains (snow cover, soil moisture). In the first part, the input data sets are briefly described, which are provided by the EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites) Satellite Application Facilities (SAF), in particular CM SAF, and by the ESA (European Space Agency) Climate Change Initiative (CCI). In the second part, the derived RCC-CM products are presented, which are divided into two groups: (i) operational monitoring products (e.g. monthly means and anomalies) based on near-real-time environmental data records (EDRs) and (ii) climate information records (e.g. climatologies, time series, trend maps) based on long-term thematic climate data records (TCDRs) with adequate stability, accuracy and homogeneity. The products are provided as maps, statistical plots and gridded data, which are made available through the RCC-CM website (www.dwd.de/rcc-cm).

scholarly journals Enhancing ACIS Maps: Increasing Usability through a GIS Portal

2019 ◽  
Vol 100 (12) ◽  
pp. 2417-2421
Author(s):  
Natalie A. Umphlett ◽  
Warren Pettee ◽  
William Sorensen ◽  
Crystal J. Stiles
Keyword(s):  
Information System ◽  
Spatial Scales ◽  
Regional Climate ◽  
High Plains ◽  
User Needs ◽  
Climate Information ◽  
Climate Conditions ◽  
Gis Data ◽  
Combine Information ◽  
Color Scales

Abstract Since 2003, the High Plains Regional Climate Center (HPRCC) has been producing the Applied Climate Information System (ACIS) Climate Summary Maps for users all across the country. The maps allow users to quickly and easily assess climate conditions for various time scales that range from weeks to months to years, as well as spatial scales varying from state to regional and national levels. Although popular among the climate and drought monitoring community, the maps are utilized by a number of sectors, including academia, agriculture, government, resource management, and utilities. Over the years, the HPRCC has received a number of requests from users looking to customize and enhance the ACIS Climate Summary Maps. With funding provided by the National Integrated Drought Information System (NIDIS), the Center is now able to produce and distribute GIS versions of the ACIS Climate Summary Maps. Maps in GIS formats help to meet user needs by allowing them the opportunity to create custom color scales, choose specific regions, and combine information from various sources with the data available in the mapped products. The GIS data are available via a GIS Portal and GeoServer, which are accessible from the HPRCC website.

scholarly journals Showcase EUROGRID – towards a European resource for gridded climate data, products and services

2009 ◽  
Vol 3 (1) ◽  
pp. 85-89
Author(s):  
T. Klein ◽  
C. Persson
Keyword(s):  
Low Cost ◽  
Technical Solution ◽  
Climate Data ◽  
Distributed Resources ◽  
Seamless Integration ◽  
Climate Monitoring ◽  
Visualization Of Data ◽  
Set Up ◽  
Hydrological Services ◽  
Monitoring Information

Abstract. EUROGRID is the vision of the European network of meteorological services (EUMETNET) about a European service for gridded climate monitoring information and products responding to the needs of users from a variety of domains. The EUMETNET project Showcase EUROGRID (S-EUROGRID) presented in this paper has the main objective to provide a better understanding of the EUROGRID idea and the way forward towards its realization. In addition to the identification of user requirements on gridded climate monitoring data and services S-EUROGRID aims to demonstrate example products and services building on existing shared gridded climate monitoring information available from European meteorological and hydrological services and other initiatives. The latter includes a harmonized visualization of data, the generation of example products/services and the dissemination of raw or processed data to the user community. For these purposes S-EUROGRID needed a simple and low-cost technical solution allowing for the seamless integration and dissemination of maps and data contributed by distributed resources, leading to Open Geospatial Consortium (OGC)-protocols as one promising option. In this concept, data providers can set up their own OGC-compliant services for climate data, which then can be viewed/accessed in a harmonized way, e.g. through the S-EUROGRID portal or by a user's specific client software (e.g. a GIS). Dynamic (i.e. real-time) generation of products is beyond the scope of S-EUROGRID, but the architectural choice of OGC-standards offers easy ways for client-side data processing, e.g., using the end user's GIS capacity. In addition, S-EUROGRID hosts a selection of pre-processed example products, illustrating the potential of combining gridded climate monitoring information with data and information sources from other thematic domains.

A Real-Time Climate Information System for the Midwestern United States

1990 ◽  
Vol 71 (11) ◽  
pp. 1601-1609 ◽  
Author(s):  
Kenneth E. Kunkel ◽  
Stanley A. Changnon ◽  
Carl G. Lonnquist ◽  
James R. Angel
Keyword(s):  
United States ◽  
Information System ◽  
Real Time ◽  
Climate Information ◽  
Midwestern United States

Analog Models for Empirical-Statistical Downscaling

2021 ◽  
Author(s):  
María Laura Bettolli
Keyword(s):  
Statistical Downscaling ◽  
Climate Models ◽  
Global Climate ◽  
Regional Climate ◽  
Weather Conditions ◽  
Climate Information ◽  
Analog Method ◽  
Weather Typing ◽  
Regional Climates ◽  
Local Weather

Global climate models (GCM) are fundamental tools for weather forecasting and climate predictions at different time scales, from intraseasonal prediction to climate change projections. Their design allows GCMs to simulate the global climate adequately, but they are not able to skillfully simulate local/regional climates. Consequently, downscaling and bias correction methods are increasingly needed and applied for generating useful local and regional climate information from the coarse GCM resolution. Empirical-statistical downscaling (ESD) methods generate climate information at the local scale or with a greater resolution than that achieved by GCM by means of empirical or statistical relationships between large-scale atmospheric variables and the local observed climate. As a counterpart approach, dynamical downscaling is based on regional climate models that simulate regional climate processes with a greater spatial resolution, using GCM fields as initial or boundary conditions. Various ESD methods can be classified according to different criteria, depending on their approach, implementation, and application. In general terms, ESD methods can be categorized into subgroups that include transfer functions or regression models (either linear or nonlinear), weather generators, and weather typing methods and analogs. Although these methods can be grouped into different categories, they can also be combined to generate more sophisticated downscaling methods. In the last group, weather typing and analogs, the methods relate the occurrence of particular weather classes to local and regional weather conditions. In particular, the analog method is based on finding atmospheric states in the historical record that are similar to the atmospheric state on a given target day. Then, the corresponding historical local weather conditions are used to estimate local weather conditions on the target day. The analog method is a relatively simple technique that has been extensively used as a benchmark method in statistical downscaling applications. Of easy construction and applicability to any predictand variable, it has shown to perform as well as other more sophisticated methods. These attributes have inspired its application in diverse studies around the world that explore its ability to simulate different characteristics of regional climates.

Using convection-permitting climate models and a high-resolution distributed hydrological model to assess future changes in Alpine flash floods.

2021 ◽  
Author(s):  
Marjanne Zander ◽  
Pety Viguurs ◽  
Frederiek Sperna Weiland ◽  
Albrecht Weerts
Keyword(s):  
High Resolution ◽  
Natural Hazards ◽  
Climate Models ◽  
Flash Flood ◽  
Regional Climate ◽  
Flash Floods ◽  
Flood Frequency ◽  
Climate Dynamics ◽  
Future Climate ◽  
European Climate

<p>Flash Floods are damaging natural hazards which often occur in the European Alps. Precipitation patterns and intensity may change in a future climate affecting their occurrence and magnitude. For impact studies, flash floods can be difficult to simulate due the complex orography and limited extent & duration of the heavy rainfall events which trigger them. The new generation convection-permitting regional climate models improve the intensity and frequency of heavy precipitation (Ban et al., 2021).</p><p>Therefore, this study combines such simulations with high-resolution distributed hydrological modelling to assess changes in flash flood frequency and occurrence over the Alpine terrain. We use the state-of-the-art Unified Model (Berthou et al., 2018) to drive a high-resolution distributed hydrological wflow_sbm model (e.g. Imhoff et al., 2020) covering most of the Alpine mountain range on an hourly resolution. Simulations of the future climate RCP 8.5 for the end-of-century (2096-2105) and current climate (1998-2007) are compared.</p><p>First, the wflow_sbm model was validated by comparing ERA5 driven simulation with streamflow observations (across Rhone, Rhine, Po, Adige and Danube). Second, the wflow_sbm simulation driven by UM simulation of the current climate was compared to a dataset of historical flood occurrences (Paprotny et al., 2018, Earth Syst. Sci. Data) to validate if the model can accurately simulate the location of the flash floods and to determine a suitable threshold for flash flooding. Finally, the future run was used to asses changes in flash flood frequency and occurrence. Results show an increase in flash flood frequency for the Upper Rhine and Adige catchments. For the Rhone the increase was less pronounced. The locations where the flash floods occur did not change much.</p><p>This research is embedded in the EU H2020 project EUCP (EUropean Climate Prediction system) (https://www.eucp-project.eu/), which aims to support climate adaptation and mitigation decisions for the coming decades by developing a regional climate prediction and projection system based on high-resolution climate models for Europe.</p><p> </p><p>N. Ban, E. Brisson, C. Caillaud, E. Coppola, E. Pichelli, S. Sobolowski, …, M.J. Zander (2021): “The first multi-model ensemble of regional climate simulations at the kilometer-scale resolution, Part I: Evaluation of precipitation”, manuscript accepted for publication in Climate Dynamics.</p><p>S. Berthou, E.J. Kendon, S. C. Chan, N. Ban, D. Leutwyler, C. Schär, and G. Fosser, 2018, “Pan-european climate at convection-permitting scale: a model intercomparison study.” Climate Dynamics, pages 1–25, DOI: 10.1007/s00382-018-4114-6</p><p>Imhoff, R.O., W. van Verseveld, B. van Osnabrugge, A.H. Weerts, 2020. “Scaling point-scale pedotransfer functions parameter estimates for seamless large-domain high-resolution distributed hydrological modelling: An example for the Rhine river.” Water Resources Research, 56. Doi: 10.1029/2019WR026807</p><p>Paprotny, D., Morales Napoles, O., & Jonkman, S. N., 2018. "HANZE: a pan-European database of exposure to natural hazards and damaging historical floods since 1870". Earth System Science Data, 10, 565–581, https://doi.org/10.5194/essd-10-565-2018</p>

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