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opencc-by-4.0Jan 2020View details →

All-Inkjet-Printed Humidity Sensors for the Detection of Relative Humidity in Air and Soil—Towards the Direct Fabrication on Plant Leaves

We demonstrate the fabrication, by exclusive means of inkjet-printing, of capacitive relative humidity sensors on flexible, plastic substrate. These sensors can be successfully used for the measurement of relative-humidity in both air and common soil. We also show that the same technique may be used for the fabrication of the same type of sensors on the surface of the leaves of Elægnus Ebbingei (silverberry).Our results demonstrate the suitability of leaves as substrate for printed electronics and pave the way to the next generation of sensors to be used in fields such as agriculture and flower farming.

opencc-by-sa-4.0Nov 2023View details →

Monthly time series of spatially enhanced relative humidity for Europe at 1000 m resolution (2000 - 2023) derived from ERA5-Land data

Overview: ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. Reanalysis produces data that goes several decades back in time, providing an accurate description of the climate of the past. Processing steps: The original hourly ERA5-Land air temperature 2 m above ground and dewpoint temperature 2 m data has been spatially enhanced from 0.1 degree to 30 arc seconds (approx. 1000 m) spatial resolution by image fusion with CHELSA data (V1.2) (<a href="https://chelsa-climate.org/">https://chelsa-climate.org/</a>). For each day we used the corresponding monthly long-term average of CHELSA. The aim was to use the fine spatial detail of CHELSA and at the same time preserve the general regional pattern and fine temporal detail of ERA5-Land. The steps included aggregation and enhancement, specifically: 1. spatially aggregate CHELSA to the resolution of ERA5-Land 2. calculate difference of ERA5-Land - aggregated CHELSA 3. interpolate differences with a Gaussian filter to 30 arc seconds 4. add the interpolated differences to CHELSA Subsequently, the temperature time series have been aggregated on a daily basis. From these, daily relative humidity has been calculated for the time period 01/2000 - 12/2023. Relative humidity (rh2m) has been calculated from air temperature 2 m above ground (Ta) and dewpoint temperature 2 m above ground (Td) using the formula for saturated water pressure from Wright (1997): <code>maximum water pressure = 611.21 * exp(17.502 * Ta / (240.97 + Ta))</code> <code>actual water pressure = 611.21 * exp(17.502 * Td / (240.97 + Td))</code> <code>relative humidity = actual water pressure / maximum water pressure</code> The resulting relative humidity has been aggregated to monthly averages. Resultant values have been converted to represent percent * 10, thus covering a theoretical range of [0, 1000]. The data have been reprojected to EU LAEA. File naming scheme (YYYY = year; MM = month): <code>ERA5_land_rh2m_avg_monthly_YYYY_MM.tif</code> Projection + EPSG code: EU LAEA (EPSG: 3035) Spatial extent: north: 6874000 south: -485000 west: 869000 east: 8712000 Spatial resolution: 1000 m Temporal resolution: Monthly Pixel values: Percent * 10 (scaled to Integer; example: value 738 = 73.8 %) Software used: GDAL 3.2.2 and GRASS GIS 8.0.0/8.3.2 Original ERA5-Land dataset license: <a href="https://apps.ecmwf.int/datasets/licences/copernicus/">https://apps.ecmwf.int/datasets/licences/copernicus/</a> CHELSA climatologies (V1.2): Data used: Karger D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E, Linder, H.P., Kessler, M. (2018): Data from: Climatologies at high resolution for the earth's land surface areas. Dryad digital repository. <a href="http://dx.doi.org/doi:10.5061/dryad.kd1d4">http://dx.doi.org/doi:10.5061/dryad.kd1d4</a> Original peer-reviewed publication: Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, P., Kessler, M. (2017): Climatologies at high resolution for the Earth land surface areas. Scientific Data. 4 170122. <a href="https://doi.org/10.1038/sdata.2017.122">https://doi.org/10.1038/sdata.2017.122</a> Processed by: mundialis GmbH & Co. KG, Germany (<a href="https://www.mundialis.de/">https://www.mundialis.de/</a>) Reference: Wright, J.M. (1997): Federal meteorological handbook no. 3 (FCM-H3-1997). Office of Federal Coordinator for Meteorological Services and Supporting Research. Washington, DC Data is also available in Latitude-Longitude/WGS84 (EPSG: 4326) projection: <a href="https://doi.org/10.5281/zenodo.6146383">https://doi.org/10.5281/zenodo.6146383</a>

opennotspecifiedSep 2017View details →

Fig. 2 in Survival of termites (Isoptera) exposed to various levels of relative humidity (RH) and water availability, and their RH preferences

Fig. 2. Materials for determining relative humidity (RH) level preferences of four termite species. A) Arena with chamber lids in place: a: chamber lid; b: rubber stopper; c: jar chamber. B) Arena with chamber lids removed: d: filter paper semicircle; e: Drierite introduction chamber; f: H2O chamber; g: MgCl2 camber; h: Mg(NO3)2 chamber; i: NaCl chamber. C) Close-up of arena components housing termites: j: connecting tube; k: holding dish; l: filter paper food source.

opennotspecifiedSep 2017View details →

Fig. 1 in Survival of termites (Isoptera) exposed to various levels of relative humidity (RH) and water availability, and their RH preferences

Fig. 1. Experimental units to examine termite survival when exposed to various relative humidity (RH) levels: A) Humidity chambers with lids removed: a: H2O dish with filter paper ring (92.0 ± 0.07% RH); b: NaCl dish (72.9 ± 0.08% RH); c: Mg(NO3)2 dish (55.7 ± 0.09% RH); d: MgCl2 dish (34.3 ± 0.04% RH); e: silica gel layer (18.2 ± 0.14% RH); f: wood food source; g: holding dish with modified lid. B) Humidity chambers with lids in place: h: rubber stopper; i: temperature/humidity probe; j: chamber lid.

opencc-by-4.0Aug 2021View details →

Data for "Joint Dependence of Longwave Feedback on Surface Temperature and Relative Humidity"

The datasets provided here are for the paper, "Joint Dependence of Longwave Feedback on Surface Temperature and Relative Humidity", by Brett A. McKim, Nadir Jeevanjee, and Geoffrey K. Vallis The datasets provided here includes the longwave clear-sky feedback and OLR used in Figures 1, 3, 4, 5.  The datasets also includes the transmission to space as a function of wave number used in Figure 2. These datasets are the output of calculations from PyRads, a python-based column model with line-by-line radiative transfer (https://github.com/danielkoll/PyRADS).

opencc-by-4.0Sep 2021View details →

Datasets for :Atmospheric chemistry of oxalate: Insight into the role of relative humidity and acidity from high-resolution observation.

The datasets in this file were used to generate figures for the paper titled"Atmospheric chemistry of oxalate: Insight into the role of relative humidity and acidity from high-resolution observation." The datasets include the hourly concentration of atmospheric composition and meteorological parameters in Nanjing Area.

opencc-by-4.0Jan 2023View details →

Studying the wide range of relative humidity in cirrus clouds with large-ensemble parcel model simulations

The model codes, data, and plot scripts used in the paper, "Studying the wide range of relative humidity in cirrus clouds with large-ensemble parcel model simulations". <ul> <li>parcel model code.zip contains model code.</li> <li>Results.zip contains output data of each experiment in this study.</li> <li>Figs and scripts.zip are the NCL scripts used for figures.</li> </ul>

opencc-by-nc-4.0Jun 2023View details →

Continuous data of air temperature, relative humidity, and air pressure collected at Kyoto University in January 2022

I present the continuous data of air temperature, relative humidity, and air pressure collected at the Kyoto-A gravity measurement room (latitude: 35.02938 N, longitude: 135.78347 E, elevation: 60.82 m), Graduate School of Science, Kyoto University in January 2022. The values of air temperature, relative humidity, and air pressure were obtained every 1 second by a BME280 sensor (Bosch Sensortec GmbH) on a RT-USB-THP module (RT Corporation). The data were time-stamped and recorded using the Tera Term software on a Windows PC, which was synchronized in time with the NTP server of NICT (ntp.nict.jp). photo.zip contains the photographs of the Kyoto-A gravity measurement room taken in December 2022. The RT-USB-THP module and the Windows PC were located on the basement rock of the Kyoto-A absolute gravity point. data.zip contains the continuous data of air temperature, relative humidity, and air pressure collected at the Kyoto-A gravity measurement room. Each file of 2201??.txt stores the data obtained from 11:55 JST of the corresponding day to 11:54 JST of the next day, according to the operating time of the Tera Term software. The columns in 2201??.txt are as follows from left to right: year, month, day, hour, minute, second, air temperature [degC], air pressure [hPa], and relative humidity [%]. Note that 220101.txt was not recorded due to the failure of the Windows PC on January 1, 2022. figure.zip contains the graphs of air temperature, relative humidity, and air pressure drawn using the GMT4 software. Each graph of 2201??.png shows the time variation in air temperature, relative humidity, and air pressure from 0:00 JST to 24:00 JST of the corresponding day. tonga.png shows the air pressure variation from 12:00 JST on January 15 to 11:54 JST on January 16, and its original data is available as 220115.txt in data.zip. The pressure change of about 2 hPa was observed around 20:40 JST on January 15, associated with the propagation of the Lamb wave generated by the massive eruption of the Hunga Tonga-Hunga Ha’apai volcano.

opencc-by-4.0Jul 2023View details →

10-minutes Air Temperature and Relative Humidity Datasets from city of Novi Sad - NSUNET system

On the territory of Novi Sad and its surrounding the urban meteorological network with 27 stations (Ta and RH sensors) was made. The operation time of the network was from July 2014 to February 2018. Stations locations were chosen based on the local climate zone classification system (Stewart and Oke, 2012) that was applied on urban area of Novi Sad. There were 25  stations in the city of Novi Sad and two rural stations (located north and northeast from the city outskirts). Seven LCZ types were defined on the territory of Novi Sad and these 25 stations were located within these built-up types. Rural stations (two) were located in LCZ’s of low plants and dense trees. The measurement frequency of all stations was 10 minutes. This means that the Ta and RH sensors measured a new value every minute, and after ten measurements we got a new average value based on the previous ten measurements. Datasets are 'raw data' i.e. have missing data and outliers. Therefore, before any analysis, the detailed QC steps must be applied!

dryad32/100

Supporting Data for Relative Humidity Effect on the Formation of Highly Oxidized Molecules and New Particles during Monoterpene Oxidation

Open the record for dataset details and reuse information.

publicJan 2019View details →

MLS/Aura Level 3 Daily Binned Relative Humidity With Respect To Ice (RHI) on Assorted Grids V004 (ML3DBRHI) at GES DISC

ML3DBRHI is the EOS Aura Microwave Limb Sounder (MLS) daily binned on various vertical grids product for relative humidity with respect to ice (RHI) derived from radiances measured by the 118 and 190 GHz radiometers. The data version is 4.2. Spatial coverage is near-global (-82 to +82 degrees latitude) at a spatial resolution of 4 degrees latitude by 5 degrees longitude. The recommended useful vertical range is from 316 to 0.0215 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML3DBRHI data product should read chapter 4 and section 3.20 of the EOS MLS Level 2 Version 4 Quality Document for more information.The data files are archived in the netCDF4 format, which is also compatible with HDF5 readers and tools. Each file contains six group objects: lat-lon map vs pressure, lat vs pressure zonal mean, lat-lon map vs theta, lat vs theta zonal mean, equivalent lat vs theta zonal mean, and vortex average vs theta. Each group has a set of data (average, min, max, std dev, rms) and geolocation fields, grid attributes, and metadata.

MLS/Aura Level 3 Daily Binned Relative Humidity With Respect To Ice (RHI) on Assorted Grids V005 (ML3DBRHI) at GES DISC

ML3DBRHI is the EOS Aura Microwave Limb Sounder (MLS) daily binned on various vertical grids product for relative humidity with respect to ice (RHI) derived from radiances measured by the 118 and 190 GHz radiometers. The data version is 5.1. Spatial coverage is near-global (-82 to +82 degrees latitude) at a spatial resolution of 4 degrees latitude by 5 degrees longitude. The recommended useful vertical range is from 316 to 0.0215 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML3DBRHI data product should read chapter 4 and section 3.20 of the EOS MLS Level 2 Version 5 Quality Document for more information.The data files are archived in the netCDF4 format, which is also compatible with HDF5 readers and tools. Each file contains six group objects: lat-lon map vs pressure, lat vs pressure zonal mean, lat-lon map vs theta, lat vs theta zonal mean, equivalent lat vs theta zonal mean, and vortex average vs theta. Each group has a set of data (average, min, max, std dev, rms) and geolocation fields, grid attributes, and metadata.

MLS/Aura Level 3 Daily Binned Relative Humidity With Respect To Ice (RHI) on Zonal and Similar Grids V004 (ML3DZRHI) at GES DISC

ML3DZRHI is the EOS Aura Microwave Limb Sounder (MLS) daily binned on zonal and assorted vertical grids product for relative humidity with respect to ice (RHI) derived from radiances measured by the 118 and 190 GHz radiometers. The data version is 4.2. Spatial coverage is near-global (-82 to +82 degrees latitude) at 4 degree latitude zonal increments. The recommended useful vertical range is from 316 to 0.0215 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML3DZRHI data product should read chapter 4 and section 3.20 of the EOS MLS Level 2 Version 4 Quality Document for more information.The data files contain one year of data and are archived in the netCDF4 format, which is also compatible with HDF5 readers and tools. Each file contains four group objects: lat vs pressure zonal mean, lat vs "potential temperature" zonal mean, "equivalent latitude" vs "potential temperature" zonal mean, and vortex average vs "potential temperature". Each group has a set of data (average, min, max, std dev, rms) and geolocation fields, grid attributes, and metadata.

In-situ Air Temperature and Relative Humidity in Greenbelt, MD, 2013-2015

This data set describes the temperature and relative humidity at 12 locations around Goddard Space Flight Center in Greenbelt MD at 15 minute intervals between November 2013 and November 2015. These data were collected to study the impact of surface type on heating in a campus setting and to improve the understanding of urban heating and potential mitigation strategies on the campus scale. Sensors were mounted on posts at 2 m above surface and placed on 7 different surface types around the centre: asphalt parking lot, bright surface roof, grass field, forest, and stormwater mitigation features (bio-retention pond and rain garden). Data were also recorded in an office setting and a garage, both pre- and post-deployment, for calibration purposes. This dataset could be used to validate satellite-based study or could be used as a stand-alone study of the impact of surface type on heating in a campus setting.

MLS/Aura Level 3 Daily Binned Relative Humidity With Respect To Ice (RHI) on Zonal and Similar Grids V005 (ML3DZRHI) at GES DISC

ML3DZRHI is the EOS Aura Microwave Limb Sounder (MLS) daily binned on zonal and assorted vertical grids product for relative humidity with respect to ice (RHI) derived from radiances measured by the 118 and 190 GHz radiometers. The data version is 5.1. Spatial coverage is near-global (-82 to +82 degrees latitude) at 4 degree latitude zonal increments. The recommended useful vertical range is from 316 to 0.0215 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML3DZRHI data product should read chapter 4 and section 3.20 of the EOS MLS Level 2 Version 5 Quality Document for more information.The data files contain one year of data and are archived in the netCDF4 format, which is also compatible with HDF5 readers and tools. Each file contains four group objects: lat vs pressure zonal mean, lat vs "potential temperature" zonal mean, "equivalent latitude" vs "potential temperature" zonal mean, and vortex average vs "potential temperature". Each group has a set of data (average, min, max, std dev, rms) and geolocation fields, grid attributes, and metadata.

MLS/Aura Level 3 Monthly Binned Relative Humidity With Respect To Ice (RHI) on Assorted Grids V005 (ML3MBRHI) at GES DISC

ML3MBRHI is the EOS Aura Microwave Limb Sounder (MLS) monthly binned on various vertical grids product for relative humidity with respect to ice (RHI) derived from radiances measured by the 118 and 190 GHz radiometers. The data version is 5.1. Spatial coverage is near-global (-82 to +82 degrees latitude) at a spatial resolution of 4 degrees latitude by 5 degrees longitude. The recommended useful vertical range is from 316 to 0.0215 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML3MBRHI data product should read chapter 4 and section 3.20 of the EOS MLS Level 2 Version 5 Quality Document for more information.The data files are archived in the netCDF4 format, which is also compatible with HDF5 readers and tools. Each file contains six group objects: lat-lon map vs pressure, lat vs pressure zonal mean, lat-lon map vs theta, lat vs theta zonal mean, equivalent lat vs theta zonal mean, and vortex average vs theta. Each group has a set of data (average, min, max, std dev, rms) and geolocation fields, grid attributes, and metadata.

MLS/Aura Level 3 Monthly Binned Relative Humidity With Respect To Ice (RHI) on Assorted Grids V004 (ML3MBRHI) at GES DISC

ML3MBRHI is the EOS Aura Microwave Limb Sounder (MLS) monthly binned on various vertical grids product for relative humidity with respect to ice (RHI) derived from radiances measured by the 118 and 190 GHz radiometers. The data version is 4.2. Spatial coverage is near-global (-82 to +82 degrees latitude) at a spatial resolution of 4 degrees latitude by 5 degrees longitude. The recommended useful vertical range is from 316 to 0.0215 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML3MBRHI data product should read chapter 4 and section 3.20 of the EOS MLS Level 2 Version 4 Quality Document for more information.The data files are archived in the netCDF4 format, which is also compatible with HDF5 readers and tools. Each file contains six group objects: lat-lon map vs pressure, lat vs pressure zonal mean, lat-lon map vs theta, lat vs theta zonal mean, equivalent lat vs theta zonal mean, and vortex average vs theta. Each group has a set of data (average, min, max, std dev, rms) and geolocation fields, grid attributes, and metadata.

MLS/Aura Level 2 Relative Humidity With Respect To Ice V005 (ML2RHI) at GES DISC

ML2RHI is the EOS Aura Microwave Limb Sounder (MLS) standard product for relative humidity with respect to ice derived from radiances measured by the 118 and 190 GHz radiometers. The data version is 5.0. Spatial coverage is near-global (-82 degrees to +82 degrees latitude), with each profile spaced 1.5 degrees or ~165 km along the orbit track (roughly 15 orbits per day). The recommended useful vertical range is from 316 to 0.0215 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML2RHI data product should read section 3.20 of the EOS MLS Level 2 Version 5 Quality Document for more information.The data are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5), which is based on the version 5 Hierarchical Data Format, or HDF-5. Each file contains two swath objects (profile and column data), each with a set of data and geolocation fields, swath attributes, and metadata.

TES/Aura L2 Relative Humidity Lite Nadir

TL2RHLN_7 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 7 data product. It contains atmospheric vertical profile estimates and associated errors including the mapping matrix to relate the reduced-size retrieval vectors, covariances, and averaging kernels back to the TES forward model pressure grid. TES Level 2 data contain retrieved species (or temperature) profiles at the observation targets and the estimated errors. The geolocation, quality, and other data (e.g., surface characteristics for nadir observations) are also provided. L2 modeled spectra are evaluated using radiative transfer modeling algorithms. The process, referred to as retrieval, compares observed spectra to the modeled spectra and iteratively updates the atmospheric parameters. L2 standard product files include information for one molecular species (or temperature) for an entire global survey or special observation run. A global survey consists of a maximum of 16 consecutive orbits. A nadir sequence within the TES Global Survey is a fixed number of observations within an orbit for a Global Survey. Prior to April 24, 2005, it consisted of two low resolution scans over the same ground locations. After April 24, 2005, Global Survey data consisted of three low resolution scans. The Nadir standard product consists of four files, where each file is composed of the Global Survey Nadir observations from one of four focal planes for a single orbit, i.e. 72 orbit sequences. The Global Survey Nadir observations currently only use a single set of filter mix. A Global Survey consists of observations along 16 consecutive orbits at the start of a two day cycle, over which 3,200 retrievals are performed. Each observation is the input for retrievals of species Volume Mixing Ratios (VMR), temperature profiles, surface temperature and other data parameters with associated pressure levels, precision, total error, vertical resolution, total column density and other diagnostic quantities. Each TES Level 2 standard product reports information in a swath format conforming to the HDF-EOS Aura File Format Guidelines. Each Swath object is bounded by the number of observations in a global survey and a predefined set of pressure levels representing slices through the atmosphere. Each standard product can have a variable number of observations depending upon the Global Survey configuration and whether averaging is employed. Also, missing or bad retrievals are not reported. The organization of data within the Swath object is based on a superset of the UARS pressure levels used to report concentrations of trace atmospheric gases. The reporting grid is the same pressure grid used for modeling. There are 67 reporting levels from 1211.53 hPa, which allows for very high surface pressure conditions, to 0.1 hPa, about 65 km. In addition, the products will report values directly at the surface when possible or at the observed cloud top level. Thus, in the Standard Product files each observation can potentially contain estimates for the concentration of a particular molecule at 67 different pressure levels within the atmosphere. However, for most retrieved profiles, the highest pressure levels are not observed due to a surface at lower pressure or cloud obscuration. For pressure levels corresponding to altitudes below the cloud top or surface, where measurements were not possible, a fill value will be applied.To minimize the duplication of information between the individual species standard products, data fields common to each species (such as spacecraft coordinates, emissivity, and other data fields) have been collected into a separate standard product, termed the TES L2 Ancillary Data product (ESDT short name: TL2ANC). Users of this product should also obtain the Ancillary Data product.