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BOREAS/SRC AMS Suite A Surface Meteorological and Radiation Data: 1995

The Saskatchewan Research Council (SRC) collected surface meteorological and radiation data from December, 1993 until Decemb er 1996. The data set is comprised of the Suite A (meteorological and energy balance measurements) and Suite B (diffuse sol ar and longwave measurements) components. Suite A measurements were taken at each of ten sites and suite B measurements were made at five of the suite A sites. These data cover an area of roughly 1000 km by 1000 km (a large portion of northern Man itoba and northern Saskatchewan). The measurement network was designed to provide researchers with a sufficient record of n ear-surface meteorological and radiation measurements.

BOREAS AES Five-day Averaged Surface Meteorological and Upper Air Data

The Canadian Atmospheric Environment Service (AES) provided BOREAS with hourly and daily surface meteorological data from 23 of the AES meteorological stations located across Canada and upper air data from 1 station at The Pas, Manitoba. Due to copyright restrictions on the full resolution surface meteorological data, this data set contains 5-day average values for the surface parameters. The upper air data are provided in their full resolution form. The 5-day averaging was performed in order to create a data set that could be publicly distributed at no cost. Temporally, the surface meteorological data cover the period of January 1975 to December 1996 and the upper air data cover the period of January 1961 to November 1996.

BOREAS TE-11 Surface Meteorological Data

The BOReal Ecosystem-Atmosphere Study (BOREAS) Terrestrial Ecology (TE)-11 team collected several data sets in support of its efforts to characterize and interpret information on the sapflow, gas exchange, and lichen photosynthesis of boreal vegetation and meteorological data of the area studied. This data set contains the meteorological data taken in the BOREAS Southern Study Area (SSA) during 1994 and used by TE-11 for their sapflow and gas exchange data analysis.

BOREAS HYD-03 Subcanopy Meteorological Data

The BOREAS HYD-03 team collected several data sets related to the hydrology of forested areas. This data set includes measurements of wind speed and direction; air temperature; relative humidity; and canopy, trunk, and snow surface temperatures within three forest types. The data were collected in the SSA-OJP (1994) and SSA-OBS and SSA-OA (1996). Measurements were taken for 3 days in 1994 and 4 days at each site in 1996. These measurements were intended to be short term to allow the relationship between subcanopy measurements and those collected above the forest canopy to be determined. The subcanopy estimates of wind speed were used in a snow melt model to help predict the timing of snow ablation.

Alpha Jet Atmopsheric eXperiment Meteorological Measurement System (MMS) Data

The Alpha Jet Atmospheric eXperiment (AJAX) is a partnership between NASA's Ames Research Center and H211, L.L.C., facilitating routine in-situ measurements over California, Nevada, and the coastal Pacific in support of satellite validation. The standard payload complement includes rigorously-calibrated ozone (O3), formaldehyde (HCHO), carbon dioxide (CO2), and methane (CH4) mixing ratios, as well as meteorological data including 3-D winds. Multiple vertical profiles (to ~8.5 km) can be accomplished in each 2-hr flight. The AJAX project has been collecting trace gas data on a regular basis in all seasons for over a decade, helping to assess satellite sensors' health and calibration over significant portions of their lifetimes, and complementing surface and tower-based observations collected elsewhere in the region.AJAX supports NASA's Orbiting Carbon Observatory (OCO-2/3) and Japan's Greenhouse Gases Observing Satellite (GOSAT) and GOSAT-2, and collaborates with many other research organizations (e.g. California Air Resources Board (CARB), NOAA, United States Forest Service (USFS), Environmental Protection Agency (EPA)). AJAX celebrated its 200th science flight in 2016, and previous studies have investigated topics as varied as stratospheric-to-tropospheric transport, forest fire plumes, atmospheric river events, long-range transport of pollution from Asia to the western US, urban outflow, and emissions from gas leaks, oil fields, and dairies.

LBA-ECO CD-03 Mesoscale Meteorological Data, Santarem Region, Para, Brazil: 1998-2006

We analyzed rainfall obtained in a network of 38 rain gauges located near the confluence of the Tapajos and Amazon rivers in the eastern Amazon Basin. We found that tipping bucket rain gauges work adequately in the Amazon rainfall regime, but careful field calibration and comparison with collocated conventional rain gauges was essential to incorporate daily totals from operational array into regional maps. Near-river stations miss the afternoon convective rain as expected as the river breeze promotes subsidence over the river, but paradoxically, this deficiency is more than compensated for by additional nocturnal rainfall at these locations. The 0.25-degree CMORPH passive infrared inferred rainfall data do an adequate job of describing medium scale variability in this region, but some localized breeze effects are not resolved. For inland areas away from the breezes, the nocturnal period precipitation contributes less than half of total precipitation. The large-scale rainfall increase just to the west of Santarem manifests itself locally as a 'tongue' of enhanced rain from along the wide area of open water at the Tapajos-Amazon confluence The breeze circulations associated with the Amazon River (which lies parallel to the mean flow) affects rainfall more than does the Tapajos breeze (normal to the predominant wind). The Tapajos breeze influence extends only a few kilometers inland east of the riverbank. Rainfall increases to the north of the Amazon, possibly the result of orographic effects. Dry season rainfall increases by up to 30% going away from the Amazon River, as would be expected given breeze subsidence over the river.

BOREAS/SRC AMS Suite B Surface Meteorological and Radiation Data: 1995

IceBridge NSERC L1B Geolocated Meteorologic and Surface Temperature Data, Version 1

This data set is a collection of airborne, in-flight meteorological and in-cabin measurements, as well as thermal emission measurements of near-nadir surface skin temperature, collected by the National Suborbital Education and Research Center (NSERC). Instruments flown over Antarctica include a cabin pressure transducer, a 2-stage and a 3-stage hygrometer, a total air temperature sensor, and an infrared surface temperature pyrometer. The data files contain measurements for 36 meteorological, surface characteristic, and positional variables. The data were collected as part of Operation IceBridge funded campaigns.

LBA-ECO CD-04 Meteorological and Flux Data, km 83 Tower Site, Tapajos National Forest

We used two independent approaches, biometry and micrometeorology, to determine the net ecosystem production (NEP) of an old growth forest in Para, Brazil. Biometric inventories indicated that the forest was either a source or, at most, a modest sink of carbon from 1984 to 2000 (+0.8 +/- 2 Mg C(.)ha(-1.)yr(-1); a positive flux indicates carbon loss by the forest, a negative flux indicates carbon gain). Eddy covariance measurements of CO2 exchange were made from July 2000 to July 2001 using both open- and closed-path gas analyzers. The annual eddy covariance flux-calculated without correcting for the underestimation of flux on calm nights indicated that the forest was a large carbon sink (-3.9 Mg C.ha(-1.)yr(-1)). This annual uptake is comparable to past reports from other Amazonian forests, which also were calculated without correcting for calm nights. The magnitude of the annual integral was relatively insensitive to the selection of open- versus closed-path gas analyzer, averaging time, detrending, and high-frequency correction. In contrast, the magnitude of the annual integral was highly sensitive to the treatment of calm nights, changing by over 4 Mg C(.)ha(-1.)yr(-1) when a filter was used to replace the net ecosystem exchange (NEE) during nocturnal periods with u* < 0.2 m/s. Analyses of the relationship between nocturnal NEE and u* confirmed that the annual sum needs to be corrected for the effect of calm nights, which resulted in our best estimate of the annual flux (+0.4 Mg C(.)ha(-1.)yr(-1)). The observed sensitivity of the annual sum to the u* filter is far greater than has been previously reported for temperate and boreal forests. The annual carbon balance determined by eddy covariance is therefore less certain for tropical than temperate forests. Nonetheless, the biometric and micrometeorological measurements in tandem provide strong evidence that the forest was not a strong, persistent carbon sink during the study interval.

BOREAS TF-10 NSA-YJP Tower Flux, Meteorological, and Porometry Data

The BOREAS TF-10 team collected tower flux and meteorological data at two sites, a fen and a young jack pine forest, near Thompson, Manitoba, Canada, as part of BOREAS. A preliminary data set was assembled in August 1993 while field testing the instrument packages, and at both sites data were collected from 15-Aug to 31-Aug. The main experimental period was in 1994, when continuous data were collected from the young jack pine site from 23 May to 20 Sep. Upon examination of the 1994 data set, it became clear that the behavior of the heat, water, and carbon dioxide fluxes throughout the whole growing season was an important scientific question, and that the 1994 data record was not sufficiently long to capture the character of the seasonal behavior of the fluxes. Thus, the young jack pine site was operated from 08-May to 07-Nov in 1996 in order to collect data from spring melt to autumn freeze-up. All variables are presented as 30-minute averages. Supporting data were also collected to describe the surface's state and to provide the information, in association with the flux data, to build SVAT models. For the young jack pine site, these supporting data included stomatal conductance measurements. Note that only YJP data are included in this data set. Please refer to the other TF-10 data set for fen results.

SPURS-1 research vessel Meteorological series data for N. Atlantic Endeavor cruises

The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. All US SPURS-1 cruises (Knorr: 6 Sept-9 Oct 2012; Endeavor: 15 Mar-15 Apr 2013 and 19 Sep-13 Oct 2013) were equipped with a ship mast meteorological sensor package. An additional set of sophisticated meteorological sensors, including a direct covariance flux package, was installed on the Knorr. These sensors provided along-track atmospheric pressure, temperature, humidity, IR/visible radiation, rain, wind speed and direct covariance flux measurements. Resulting data files (1 per cruise) contain these georeferenced, SPURS-1 research vessel-based meteorological measurements.

SPURS-2 Rawinsonde meteorological data for the E. Tropical Pacific field campaign R/V Revelle cruises

The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. A Rawinsonde is a helium balloon carrying meteorological instruments and a radar target, enabling the velocity of atmospheric parameters to be measured. During the first Revelle cruise, rawinsondes were launched every 6-hours, providing a total of 85 profiles of temperature, humidity, wind speed and direction through the marine atmospheric boundary layer within the SPURS-2 domain. Similarly, during the second Revelle cruise, rawinsondes were deployed four-times daily within the study area over the 3-week period. SPURS2 rawinsonde data are available as netCDF, CF-compliant data files.

DC3 In-Situ DC-8 Meteorological and Navigational Data

DC3_MetNav_AircraftInSitu_DC8_Data are in-situ meteorological and navigational data collected onboard the DC-8 aircraft during the Deep Convective Clouds and Chemistry (DC3) field campaign. Data collection for this product is complete.The Deep Convective Clouds and Chemistry (DC3) field campaign sought to understand the dynamical, physical, and lightning processes of deep, mid-latitude continental convective clouds and to define the impact of these clouds on upper tropospheric composition and chemistry. DC3 was conducted from May to June 2012 with a base location of Salina, Kansas. Observations were conducted in northeastern Colorado, west Texas to central Oklahoma, and northern Alabama in order to provide a wide geographic sample of storm types and boundary layer compositions, as well as to sample convection.DC3 had two primary science objectives. The first was to investigate storm dynamics and physics, lightning and its production of nitrogen oxides, cloud hydrometeor effects on wet deposition of species, surface emission variability, and chemistry in anvil clouds. Observations related to this objective focused on the early stages of active convection. The second objective was to investigate changes in upper tropospheric chemistry and composition after active convection. Observations related to this objective focused on the 12-48 hours following convection. This objective also served to explore seasonal change of upper tropospheric chemistry.In addition to using the NSF/NCAR Gulfstream-V (GV) aircraft, the NASA DC-8 was used during DC3 to provide in-situ measurements of the convective storm inflow and remotely-sensed measurements used for flight planning and column characterization. DC3 utilized ground-based radar networks spread across its observation area to measure the physical and kinematic characteristics of storms. Additional sampling strategies relied on lightning mapping arrays, radiosondes, and precipitation collection. Lastly, DC3 used data collected from various satellite instruments to achieve its goals, focusing on measurements from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) onboard Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) and Cloud Physics Lidar (CPL) onboard CloudSat. In addition to providing an extensive set of data related to deep, mid-latitude continental convective clouds and analyzing their impacts on upper tropospheric composition and chemistry, DC3 improved models used to predict convective transport. DC3 improved knowledge of convection and chemistry, and provided information necessary to understanding the processes relating to ozone in the upper troposphere.

opengpl-2.0Jul 2021View details →

Meteorology, MAIDENiso parameter files and observational data for Tungsten, Caniapiscau, and associated GPP stations

<p>This repository contains three datasets:</p> <p>1) Meteorology files needed to run the ecophysiological model of forest growth MAIDENiso at the dendrological sites of Tungsten and Caniapiscau and the eddy covariance flux stations of Uaf and Chibougamau.</p> <p>2) Parameter files needed to run the ecophysiological model of forest growth MAIDENiso at the dendrological sites of Tungsten and Caniapiscau and the eddy covariance flux stations of Uaf and Chibougamau.</p> <p>3) Observational dataset of snow, and d18O concentration at the dendrological sites, and GPP at the eddy covariance flux stations. In addition, observations of river discharge in the Caniapiscau basin (Quebec).</p>

opencc-by-4.0Jul 2022View details →

Taylor Valley meteorological input data for ICEMELT model

<p>These input files were too large to be included in ICEMELT-Cross GitHub repository (https://doi.org/10.5281/zenodo.6808770). To run the ICEMELT model, copy and paste the contents of this repository into the 'input' directory.</p>

opencc-by-4.0Jul 2024View details →

The meteorological data from 2008–2019 in Shandong Peninsula from China National Meteorological Data Center

<p>This dataset is download a<span>t the </span><span>China Meteorological Data Service Centre by the National Meteorological Information Centre</span></p>

opencc-by-4.0Oct 2024View details →

Meteorological Data from Kardamyla, Chios: April 2024 Baseline Measurements for the MUSICA Project

<p>The present meteorological data is collected from the weather station in <strong>Kardamyla</strong>, a village in northern Chios, and is published on the <strong>Zenodo</strong> platform for open access. The Kardamyla area was selected due to its proximity to the location where the <strong>MUSICA</strong> project platform will be installed. The data includes measurements of temperature, rainfall, wind speed, and wind direction, and covers the period from April 1st to April 30th, 2024.</p> <h3>Purpose</h3> <p>These measurements are conducted as part of the <strong>MUSICA</strong> project, with the goal of monitoring climate changes in the Kardamyla area and the broader region of Chios, particularly following the installation of the project's platform. The data presented here covers the period from April 2024, and new measurements will be regularly added as part of ongoing monitoring efforts to track changes in weather and climate conditions.</p> <h3>Content</h3> <p>The files include:</p> <ul> <li><strong>Date and time of recording</strong>: For accurate time tracking of the data.</li> <li><strong>Temperature</strong>: Daily average, maximum, and minimum temperatures in degrees Celsius (°C).</li> <li><strong>Rainfall</strong>: Daily rainfall in millimeters (mm).</li> <li><strong>Wind speed</strong>: Average and maximum daily wind speed in kilometers per hour (km/h).</li> <li><strong>Wind direction</strong>: The prevailing wind direction of the day.</li> </ul> <h3>Data Highlights for April 2024</h3> <ul> <li><strong>Highest temperature</strong>: 28.7°C, recorded on April 2nd, 2024, at 17:50.</li> <li><strong>Lowest temperature</strong>: 8.1°C, recorded on April 21st, 2024, at 01:20.</li> <li><strong>Highest daily rainfall</strong>: 23.6 mm, recorded on April 20th, 2024.</li> <li><strong>Highest wind speed</strong>: 91.7 km/h, recorded on April 24th, 2024, at 00:40.</li> </ul> <h3>Data Usage</h3> <p>The data is free to use. Users are welcome to download, analyze, and utilize the data for personal, educational, or research purposes, as well as for developing applications and tools that contribute to understanding and addressing weather and climate phenomena.</p>