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Fuchsenbigl METEO Data TEMP PREC 2011 - 2016
Meteorological data provided for the H2020 eLTER projec
eLTER VA Data Postojna Planina CS microclimate data
Cave microclimate is prone to important changes in certain passages due to intensive tourism. Monitoring the climatic parameters (air temperature, CO2) in Postojna-Planina Cave System helps to have a proper picture of the impact of tourism for the cave. It is very useful to compare if additional increase of temperature is associated with the changes at the surface climate. The dataset comprises two types of daily mean air temperature data: 1) the daily mean air temperature data (°C) measured in “Lepe jame” cave passage from Postojna Cave, counting constantly a very high number of tourists; the measurements were made in the same point, by three sensors placed at three different height points (in the wall cracks [T1], at ceiling level [T3], and at 2 m height [T2]). Values are recorded at 10 min intervals and then averaged for daily data (the dataset for Lepe jame cave passage is provided by MEIS Environmental consulting d.o.o. (http://www.meis.si/) while the data are part of the project "Assesment of natural and antropogenic processes in micrometeorology of Postojna cave system by numerical models and modern methods of data aquisition and transfer" [https://izrk.zrc-sazu.si/en/programi-in-projekti/assesment-of-natural-and-antropogenic-processes-in-micrometeorology-of-postojna#v]; 2) the surface daily mean air temperature measured at 2 m height (°C) at the Postojna meteorological station, as part of the national network of meteorological stations within the Environmental Agency of the Republic of Slovenia (ARSO; http://meteo.arso.gov.si/)
LTER_EU_PT_009_Meteo_2012-2017
Dataset provides information about average, maximum and minimum daily temperatures, daily average relative humidity and average, maximum and minimum daily PAR (Photosynthetically active radiation) collected in the University of Aveiro from 2012 and 201
Lammi Meteorological data
Mean daily temperature and daily precipitation at weather station "Hämeenlinna Lammi Pappila" of Finish Meteorological Institut
Meteorological data from 2003 to 2013 for Srebarna lake
Temperature (daily mean, min, max) and precipitation data series, 2003-201
Lake Bidighinzu water column temperature
Water temperature of Lake Bidighinzu in the water column from 1978 to 2015
LTER Forellenbach, Precipitation and throughfall data 1999-2016
Long-term monitoring (1999-2016) of precipitation and throughfall chemistry at the 69 ha study site Forellenbach in the National Park Bavarian Forest (LTER_EU_DE_015)
ECHAM-HAMMOZ reference simulation 2003-2012
These datasets represent a selection of the most important output variables from the reference simulation of the ECHAM-HAMMOZ chemistry climate model (CCM), which is described in the journal paper "The Chemistry Climate Model ECHAM6.3-HAM2.3-MOZ1.0" by M. G. Schultz et al. (Geosci. Model Dev., 2018). The data are monthly mean fields of global atmospheric composition (from the surface to ~80 km altitude) and they include some meteorological fields as well as diagnostics of some chemical tendencies. The file format is netCDF.double hyam(nhym) ;
double hybm(nhym) ;
double lat(lat) ;
double lev(lev) ;
double lon(lon) ;
double time(time) ;
float aclc(time, lev, lat, lon) ;
float ps(time, lat, lon) ;
float ddep_BC(time, lat, lon) ;
float ddep_DUST(time, lat, lon) ;
float ddep_HNO3(time, lat, lon) ;
float ddep_NO2(time, lat, lon) ;
float ddep_O3(time, lat, lon) ;
float ddep_OC(time, lat, lon) ;
float ddep_SEASALT(time, lat, lon) ;
float ddep_SULFATE(time, lat, lon) ;
float emi_C5H8(time, lat, lon) ;
float emi_NO_lghtng(time, lat, lon) ;
float gridbox_area(time, lat, lon) ;
float gridbox_height(time, lev, lat, lon) ;
float losso1dviah2o(time, lev, lat, lon) ;
float losso3viaho2(time, lev, lat, lon) ;
float losso3viaoh(time, lev, lat, lon) ;
float oh_reactivity(time, lev, lat, lon) ;
float precip(time, lat, lon) ;
float prodo3viach3o2(time, lev, lat, lon) ;
float prodo3viaho2(time, lev, lat, lon) ;
float prodo3viaro2(time, lev, lat, lon) ;
float rate_CH4(time, lev, lat, lon) ;
float density(time, lev, lat, lon) ;
float sw_flux_surf(time, lat, lon) ;
float sw_flux_toa(time, lat, lon) ;
double time_bnds(time, bnds) ;
float wdep_BC(time, lat, lon) ;
float wdep_DUST(time, lat, lon) ;
float wdep_HNO3(time, lat, lon) ;
float wdep_OC(time, lat, lon) ;
float wdep_SEASALT(time, lat, lon) ;
float wdep_SULFATE(time, lat, lon) ;
float BC(time, lev, lat, lon) ;
float Bry(time, lev, lat, lon) ;
float C2H6(time, lev, lat, lon) ;
float C3H8(time, lev, lat, lon) ;
float C5H8(time, lev, lat, lon) ;
float CDNC(time, lev, lat, lon) ;
float CH2O(time, lev, lat, lon) ;
float Cly(time, lev, lat, lon) ;
float DUST(time, lev, lat, lon) ;
float H2O2(time, lev, lat, lon) ;
float HNO3(time, lev, lat, lon) ;
float NO(time, lev, lat, lon) ;
float NO2(time, lev, lat, lon) ;
float NOy(time, lev, lat, lon) ;
float O3(time, lev, lat, lon) ;
float OC(time, lev, lat, lon) ;
float OH(time, lev, lat, lon) ;
float OH_conc(time, lev, lat, lon) ;
float PAN(time, lev, lat, lon) ;
float SEASALT(time, lev, lat, lon) ;
float SULFATE(time, lev, lat, lon) ;
float S_a(time, lev, lat, lon)
LTER Collelongo-Selva Piana, Italy, Vegetation data 1999-2016
Vegetation survey data of the 250 ha study site Collelongo-Selva Piana ABR1 (LTER_EU_IT_031). The percentage cover of every vascular plant and moss species was determined on 12 permanently marked subplots (10 x 10 m) on a 0.25 ha study area, by vertical layers between the years 1999 and 2016