Global Temperature: Daily Maximum: Denmark: Foulum Aut data was reported at 8.300 Degrees Celsius in 07 Nov 2025. This records a decrease from the previous number of 15.300 Degrees Celsius for 06 Nov 2025. Global Temperature: Daily Maximum: Denmark: Foulum Aut data is updated daily, averaging 24.600 Degrees Celsius from Mar 2024 (Median) to 07 Nov 2025, with 220 observations. The data reached an all-time high of 28.500 Degrees Celsius in 01 Jul 2025 and a record low of 4.000 Degrees Celsius in 03 Apr 2024. Global Temperature: Daily Maximum: Denmark: Foulum Aut data remains active status in CEIC and is reported by Climate Prediction Center. The data is categorized under Global Database’s Denmark – Table DK.CPC.GT: Environmental: Global Temperature: Daily Maximum.

The average mean temperature in the Nordic countries has seen an upward trend in the past four decades. In 2024, the average mean temperature in Denmark reached 9.73 degrees Celsius. All Nordic countries recorded the highest average temperatures in the displayed in 2024, except for Iceland. The lowest annual average mean surface temperature was recorded in Iceland 1918.

Denmark Maximum 5-day Rainfall: 25-year Return Level data was reported at 6.864 mm in 2050. Denmark Maximum 5-day Rainfall: 25-year Return Level data is updated yearly, averaging 6.864 mm from Dec 2050 (Median) to 2050, with 1 observations. The data reached an all-time high of 6.864 mm in 2050 and a record low of 6.864 mm in 2050. Denmark Maximum 5-day Rainfall: 25-year Return Level data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Denmark – Table DK.World Bank.WDI: Environmental: Climate Risk. A 25-year return level of the 5-day cumulative precipitation is the maximum precipitation sum over any 5-day period that can be expected once in an average 25-year period.;World Bank, Climate Change Knowledge Portal (https://climateknowledgeportal.worldbank.org);;

See below for English version

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DMI Klimaatlas v2024b - Fremskrivninger af det danske klima

Klimaatlas leverer ét samlet datagrundlag for det fremtidige danske klima. Klimaatlas er udarbejdet på baggrund af DMI's egne data, internationale samarbejder og viden fra rapporter fra FN’s Klimapanel (IPCC). Finansieringen kommer fra Finansloven 2018 og 2022. Klimaindikatorer er udregnet og samlet for hele Danmark, kommuner, alle vandoplande (afvandingsområder) og kyststrækninger, i et højtopløsningsgitter (1x1 km).

Denne opdatering indebærer:

• Alle havniveau og stormflodsindikatorer er opdateret på baggrund af Kystdirektoratets nyeste opdatering af ”Højvandsstatistikkerne” fra Juli 2024 og rediveret 5 november 2024.
• Tilføjelse af to nye SSP-udledningsscenarier SSP1-1.9 og SSP3-7.0 for havniveau og stormflodsindikatorer.
• Ændring i indikatorerne:
  • Tilføjelse 1 indikator
    • Hyppighed af nuværende 100 årshændelse
  • Fjernelse 3 indikatorer
    • Samlet varighed af vandstandsvarslinger
    • Hyppighed af vandstandsvarslinger
    • 10.000 årshændelse stormflod
  • Alle andre indikatorer fra tidligere udgaver findes også i dette datasæt.
• Referenceåret for vandstand er flyttet fra 1990 til 1995, der giver en mindre afvigelse på tværs af alle hav målestationer på cirka 2 cm.
• Tilføjelse af to nye klimamodel datasæt for maksimum og minimum dagstemperatur. Alle relevante indikatorer er blevet genberegnet med den udvidet ensemble.

Datasættet indeholder de følgende elementer:

• DMI_Klimaatlas_v2024b_Danmark_rapport.pdf – Klimaatlas rapport som giver et overblik over klimaforandring i Danmark.
• DMI_Klimaatlas_v2024b_Alle_indikator.xlsx – Microsoft Excel regneark med alle Klimaatlas indikatorer.
• DMI_Klimaatlas_v2024b_Excel_regnearker.zip - Microsoft Excel-regneark med indikatorer opdelt efter kommuner, vandopleande eller kystrækninger.
• DMI_Klimaatlas_v2024b_Kommune_rapporter.zip - PDF rapporter om klimaforandringer i alle 98 kommuner i Danmark.
• DMI_Klimaatlas_v2024b_NetCDF_indicators.zip – Indikatorer på en 1km gitter over Danmark i NetCDF format.
• DMI_Klimaatlas_v2024b_Udvidet_havniveau.xlsx – Udvidet havniveau datasæt til ekspertbrugere som har behov for en højere tidsopløsning, længere tidsdækning og eller andre scenarier for havniveaustigning.
• DMI_Report_24_12.pdf - " Methods used in Klimaatlas, the Danish Climate Atlas (v2024b) ", tekniske rapport som beskriver hvordan Klimaatlas data beregnes (på engelsk).

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DMI Klimaatlas v2024b - Projections of climate indicators in Denmark

DMI’s Klimaatlas provides data for the future Danish climate. Klimaatlas is based on DMI's own data, international collaborations and knowledge from reports by the Intergovernmental Panel on Climate Change (IPCC). Funding comes from the Danish Finance Act 2018 and 2022. Climate indicators are calculated and compiled for all of Denmark, municipalities, all water basins (catchment areas) and coastlines, on a high-resolution grid (1x1 km).

This update includes:

• All sea level and storm-surge indicators have been updated in line with the latest version of the Danish Coastal Authority’s “Højvandsstatistikkerne” from July 2024, revised 5^th November 2024.
• Addition of two new SSP emissions scenarios, SSP1-1.9 and SSP3-7.0, for sea level and storm surge indicators.
• Changes in indicators:
  • Addition of 1 indicator
    • Frequency of current 100-year storm surge event
  • Removal of 3 indicators
    • Total duration of high-water warnings
    • Frequency of high-water warnings
    • Height of a 10 000 year storm surge event
  • All other indicators from previous versions can also be found in this dataset.
• The reference year for sea level is moved from 1990 to 1995, giving a minor shift across all stations of around 2cm.
• Addition of two new climate models to the dataset for the maximum and minimum daily temperatures. All relevant indicators have been recalculated with the expanded ensemble.

The dataset consists of the following elements:

• DMI_Klimaatlas_v2024b_Danmark_rapport.pdf – Klimaatlas report describing the effects of climate change in Denmark (in Danish)
• DMI_Klimaatlas_v2024b_Alle_indikator.xlsx – Microsoft Excel spreadsheet with all Klimaatlas indicators (in Danish).
• DMI_Klimaatlas_v2024b_ Excel_regnearker.zip - Microsoft Excel spreadsheet with indicators divided by municipalities ("Kommune"), coastal stretches ("Kyststrækninger") and drainages ("Vandoplande") (in Danish).
• DMI_Klimaatlas_v2024b_Kommune_rapporter.zip - PDF report summarising the findings of Klimaatlas for each of the 98 municipalities in Denmark (in Danish).
• DMI_Klimaatlas_v2024b_NetCDF_indicators.zip – Indicators on a 1km grid over Denmark in the NetCDF format (in Danish).
• DMI_Klimaatlas_v2024b_Udvidet_havniveau.xlsx – Extended sea level rise dataset for expert uses that have a need for a higher time resolution, longer time coverage or other climate scenarios for sea level rise (in Danish).
• DMI_Report_24_12.pdf - " Methods used in Klimaatlas, the Danish Climate Atlas (v2024b)", technical report describing the methods used in generating Klimaatlas data

One of the key climate change factors, temperature, has potentially grave implications for human health. We report the first attempt to investigate the association between the daily 3-hour maximum apparent temperature (Tappmax) and respiratory (RD), cardiovascular (CVD), and cerebrovascular (CBD) emergency hospital admissions in Copenhagen, controlling for air pollution. The study period covered 1 January 2002−31 December 2006, stratified in warm and cold periods. A case-crossover design was applied. Susceptibility (effect modification) by age, sex, and socio-economic status was investigated. For an IQR (8°C) increase in the 5-day cumulative average of Tappmax, a 7% (95% CI: 1%, 13%) increase in the RD admission rate was observed in the warm period whereas an inverse association was found with CVD (−8%, 95% CI: −13%, −4%), and none with CBD. There was no association between the 5-day cumulative average of Tappmax during the cold period and any of the cause-specific admissions, except in some susceptible groups: a negative association for RD in the oldest age group and a positive association for CVD in men and the second highest SES group. In conclusion, an increase in Tappmax is associated with a slight increase in RD and decrease in CVD admissions during the warmer months.

The National Centers for Environmental Prediction (NCEP) Climate Forecast System (CFS) is initialized four times per day (0000, 0600, 1200, and 1800 UTC). NCEP upgraded their operational CFS to version 2 on March 30, 2011. This is the same model that was used to create the NCEP Climate Forecast System Reanalysis (CFSR), and the purpose of this dataset is to extend CFSR. The 6-hourly atmospheric, oceanic and land surface analyzed products and forecasts, available at 0.2, 0.5, 1.0, and 2.5 degree horizontal resolutions, are archived here beginning with January 1, 2011 as an extension of CFSR. The RDA is not archiving any of the CFS seasonal forecasts. For more information about CFS, please see http://cfs.ncep.noaa.gov/ [http://cfs.ncep.noaa.gov/].

'''DEFINITION'''The OMI_EXTREME_SST_NORTHWESTSHELF_sst_mean_and_anomaly_obs indicator is based on the computation of the 99th and the 1st percentiles from in situ data (observations). It is computed for the variable sea surface temperature measured by in situ buoys at depths between 0 and 5 meters. The use of percentiles instead of annual maximum and minimum values, makes this extremes study less affected by individual data measurement errors. The percentiles are temporally averaged, and the spatial evolution is displayed, jointly with the anomaly in the target year. This study of extreme variability was first applied to sea level variable (Pérez Gómez et al 2016) and then extended to other essential variables, sea surface temperature and significant wave height (Pérez Gómez et al 2018).'''CONTEXT'''Sea surface temperature (SST) is one of the essential ocean variables affected by climate change (mean SST trends, SST spatial and interannual variability, and extreme events). In Europe, several studies show warming trends in mean SST for the last years (von Schuckmann, 2016; IPCC, 2021, 2022). An exception seems to be the North Atlantic, where, in contrast, anomalous cold conditions have been observed since 2014 (Mulet et al., 2018; Dubois et al. 2018; IPCC 2021, 2022). Extremes may have a stronger direct influence in population dynamics and biodiversity. According to Alexander et al. 2018 the observed warming trend will continue during the 21st Century and this can result in exceptionally large warm extremes. Monitoring the evolution of sea surface temperature extremes is, therefore, crucial.The North-West Self area comprises part of the North Atlantic, where this refreshing trend has been observed, and the North Sea, where a warming trend has been taking place in the last three decades (e.g. Høyer and Karagali, 2016).'''KEY FINDINGS'''The mean 99th percentiles showed in the area present a range from 14ºC in the Northwest of the British Isles, 18ºC in the English Channel to 20-21ºC around Denmark (Helgoland Bight, Skagerrak and Kattegat Seas). The standard deviation ranges from 0.5ºC in the English Channel and 0.8in the Northwest of the British Isles to 1.0 in the buoys around Denmark, reaching 3ºC in Helgoland Bight.Results for this year show either positive (+1ºC) or negative (-0.1) anomalies around their corresponding standard deviation in all the area, except in Hornbaek station in the South of Kattegat Sea where the positive anomaly reaches +2.0ºC, over the 1.3ºC of standard deviation, in concordance with the positive anomalies found in the Zealand Region in the Baltic OMI.'''DOI (product):''' https://doi.org/10.48670/moi-00274

。（停止更新）最大5天降雨量：25年回报水平数据按年更新，12-01-2050至12-01-2050期间平均值为6.864毫米，共1份观测结果。该数据的历史最高值出现于12-01-2050，达6.864毫米，而历史最低值则出现于12-01-2050，为6.864毫米。CEIC提供的（停止更新）最大5天降雨量：25年回报水平数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的丹麦 – Table DK.World Bank.WDI: Environmental: Climate Risk。

The AMRC has collected synoptic weather observations (3 and 6 hourly) since January 1, 1997. These observations include a variety of information (temperature, dewpoint, barometeric pressure, wind speed and direction, etc.) from a variety of staffed stations around the Antarctic and rim of the Southern Ocean (mostly the McMurdo area, South Pole, and Palmer. etc.).

The Met. Research Flight (MRF) is a UK Met. Office facility, which flies a well instrumented C-130 Hercules aircraft for research purposes. Flight time is made available to the UK academic community through the NERC Airborne Research Support Facility (ARSF). The BADC holds data from NERC funded flights, such as those made during ACSOE and UTLS. The basic set of measurement include ozone, nitrogen oxides, water vapour, aerosols, wind, position and temperature. These are often supplimented by project spacific measurements. The aircraft has a maximum working altitude of 10km and a flight time of 12hours.

    Link to the data set home page:
    "http://www.badc.rl.ac.uk/data/mrf/"

    [Summary Extracted from the BADC Home Page]