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GPM Ground Validation Duke Rain Gauges IPHEx V1

The GPM Ground Validation Duke Rain Gauge data were collected during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign which was held in the Southern Appalachian region, including the Piedmont and Coastal Plain regions of North Carolina. TB3 Model Tipping Bucket rain gauges collected precipitation data from May 1, 2014 through June 15, 2014. The IPHEx campaign was designed to characterize warm season orographic precipitation regimes and determine the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. The rain gauge data are available in ASCII-csv (comma separated) format for each of the rain gauge locations.

GPM Ground Validation NASA EPFL-LTE Parsivel DSD Data Lausanne, Switzerland V1

The GPM Ground Validation NASA EPFL-LTE Parsivel DSD Data Lausanne, Switzerland dataset consists of a network of 16 Parsivel disdrometers deployed on the Ecole Polytechnique Federale de Lausanne (EPFL) campus in Lausanne, Switzerland for about 16 months from March 2009 to July 2010. The distribution of the disdrometers was to cover a typical operational radar pixel (about 1x1 km2). Since all the stations were not deployed at the same time, additional data are available from November 2008 to September 2010. The dataset also consists of a list of precipitation events that occurred throughout the study period. There are two types of data, raw data and filtered volumic drop size distribution data. These data are in ASCII (.dat, .txt) format that are compressed into .gz files.

GPM Ground Validation NOAA X-band Polarimetric Radar (NOXP) IPHEx V1

The GPM Ground Validation NOAA X-band dual-Polarimetric radar (NOXP) IPHEx dataset consists of differential reflectivity, differential phase shift, co-polar cross correlation, radial Doppler velocity, spectrum width, signal index, melting layer index, reflectivity, drop size distribution, and rainfall rate observations, as well as other radar parameters, collected by NOXP mobile radar during the GPM Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign. The IPHEx field campaign occurred in the Southern Appalachians, spanning into the Piedmont and Coastal Plain regions of North Carolina. The NOXP radar, operated by the NOAA National Severe Storm Laboratory (NSSL), was positioned in the Pigeon River basin of the Great Smoky Mountains of North Carolina. NOXP data are available in netCDF-3 format for dates between April 21, 2014 through June 15, 2014. The dataset includes weather condition photos taken at the NOXP radar site in JPG format.

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New Horizons Solar Wind Around Pluto (SWAP) Pick-Up Ion Histograms, Validated Summary Data (VS), Daily Data

Solar WInd Pick-Up Ion Histogram Validated Summary (VS) Data from the New Horizons Solar Wind Around Pluto (SWAP) Instrument. Elliott, H.A., D.J. McComas, P. Valek, G. Nicolaou, S. Weidner, and G. Livadiotis (2016), ApJS, 223(2), 1-21, doi:10.3847/0067-0049/223/2/19. McComas, D.J., et al., (2008), The Solar Wind Around Pluto (SWAP) Instrument Aboard New Horizons, Space Sci Rev, 140(1), 261-313, doi:10.1007/s11214-007-9205-3. McComas, D.J., Zirnstein, E.J., Bzowski, M., et al., 2017, ApJS, 233, 8. Vasyliunas, V.M., and Siscoe, G.L. 1976, JGR, 81, 1247.

GPM GROUND VALIDATION NOAA CPC MORPHING TECHNIQUE (CMORPH) IFLOODS V1

The GPM Ground Validation NOAA CPC Morphing Technique (CMORPH) IFloodS dataset consists of global precipitation analyses data produced by the NOAA Climate Prediction Center (CPC). The Iowa Flood Studies (IFloodS) campaign was a ground measurement campaign that took place in eastern Iowa from May 1 to June 15, 2013. The goals of the campaign were to collect detailed measurements of precipitation at the Earth's surface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. The CPC morphing technique uses precipitation estimates from low orbiter satellite microwave observations to produce global precipitation analyses at a high temporal and spatial resolution. Data has been selected for the Iowa Flood Studies (IFloodS) field campaign which took place from April 1, 2013 to June 30, 2013. The dataset includes both the near real-time raw data and bias corrected data from NOAA in binary and netCDF format.

GPM GROUND VALIDATION DC-8 NAVIGATION AND HOUSEKEEPING DATA GCPEX V1

The GPM Ground Validation DC-8 Navigation and Housekeeping Data GCPEx dataset, which is composed of two types of files. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. National Suborbital Education and Research Center (NSERC) of the University of North Dakota (UND) provided geo-located housekeeping data containing attributes, such as altitude, pressure, air speed, and wind speed. The NASA DC-8 Navigation data in comma delimited IWG1 format were collected and utilized in-flight during the GCPEx mission and retrieved from the Real-Time Mission Monitor. Both file types are available for most of the dataset dates, however please note that there are a few dates where only the IWG1 formatted data is available.

SMAP/In Situ Core Validation Site Land Surface Parameters Match-Up Data V001

SMAP radiometer and radar soil moisture data products are matched with in situ-based soil moisture estimates from core validation sites to produce this data set. These data provide performance assessments of various SMAP soil moisture products.

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New Horizons Solar Wind Around Pluto (SWAP) Proton Moments, Validated Summary Data (VS), 64 s Data

Solar Wind Plasma Moment Validated Summary (VS) Data from the New Horizons Solar Wind Around Pluto (SWAP) Instrument. References: Elliott, H.A., D.J. McComas, P. Valek, G. Nicolaou, S. Weidner, and G. Livadiotis, New Horizons Solar Wind Around Pluto (SWAP) Observations of the Solar Wind From 11-33 AU, ApJS, 223(2), 1-21, 2016, doi:10.3847/0067-0049/223/2/19.

Rodent Research-1 (RR1) National Lab Validation Flight: Mouse liver transcriptomic, proteomic, epigenomic and histology data

The Rodent Reasearch-1 National Lab (RR-1 CASIS) experiment was performed to study the effect of microgravity on muscle wasting. RNA, DNA, and protein were purified from RR-1 CASIS (the Center for the Advancement of Science in Space) liver samples. Groups included: Flight (FLT) dissected on-orbit (21 or 22 days after launch); age-matched Ground Controls (GC); and Basal Controls (BC, euthanized at time of launch). RNA-Seq, whole genome BS-Seq (bisulfite sequencing) and proteomic expression profiling were performed.

GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) ICE POP V1

The GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) ICE POP dataset includes reflectivity, differential reflectivity, copolar correlation coefficient, differential propagation phase, radial velocity, and spectrum width data collected by the Dual-frequency Dual-polarized Doppler Radar (D3R) during the International Collaborative Experiments for Pyeongchang 2018 Olympic and Paralympic Winter Games (ICE-POP) field campaign in South Korea. The two major objectives of ICE-POP were to study severe winter weather events in regions of complex terrain and improve the short-term forecasting of such events. These data contributed to Global Precipitation Measurement mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. The D3R was developed by a government-industry-academic consortium with funding from NASA's GPM Project. It operates at the ku (13.91 GHz ± 25 MHz) and ka (35.56 GHz ± 25 MHz) frequencies covering a fixed range from 450 m to 39.75 km. The D3R dataset files are available from November 1, 2017 through March 17, 2018 in netCDF-4 format.

Simulation-based Design and Validation of Automated Contingency Management for Propulsion Systems

This paper introduces a novel Prognostics-enhanced Automated Contingency Management (or ACM+P) paradigm based on both current health state (diagnosis) and future health state estimates (prognosis) for advanced autonomous systems. Including prognostics in ACM system allows not only fault accommodation, but also fault mitigation via proper control actions based on short term prognosis, and moreover, the establishment of a long term operational plan that optimizes the utility of the entire system based on long term prognostics. Technical challenges are identified and addressed by a hierarchical ACM+P architecture that allows fault accommodation and mitigation at various levels in the system ranging from component level control reconfiguration, system level control reconfiguration, to high level mission re-planning and resource redistribution. The ACM+P paradigm was developed and evaluated in a high fidelity Unmanned Aerial Vehicle (UAV) simulation environment with flight-proven baseline flight controller and simulated diagnostics and prognostics of flight control actuators. Simulation results are presented. The ACM+P concept, architecture and the generic methodologies presented in this paper are applicable to many advanced autonomous systems such as deep space probes, unmanned autonomous vehicles, and military and commercial aircraft.

GPM Ground Validation Duke Microwave Radiometer (MWR) IPHEx V1

The GPM Ground Validation Duke Microwave Radiometer (MWR) IPHEx dataset consists of data collected by the MWR, which is a sensitive microwave radiometer that detects the microwave radiances at two frequencies: 23.8 and 31.4 GHz. The measurements are are used to determine the presence of vapor and liquid water molecules in the atmosphere along with other derived parameters. These data were obtained during the Integrated Precipitation and Hydrology Experiment (IPHEx) field experiment, which was held in North Carolina with the goal to characterize warm season orographic precipitation regimes and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. These data are available for May 1, 2014 through June 15, 2014 and are in netCDF-3 format.

GPM GROUND VALIDATION NASA ER-2 NAVIGATION DATA MC3E V1

The GPM Ground Validation NASA ER-2 Navigation Data MC3E dataset contains information recorded by an on board navigation recorder (NavRec). In addition to typical navigation data (e.g. date, time, lat/lon and altitude) it contains outside meteorological parameters such as wind speed, wind direction, and temperature. These ASCII text files were recorded every second for the length of the flight. The Flight Summaries and Flight Track Imagery dataset which includes sonde maps, radar animation, and 5-minute KICT track snapshots is distributed with this dataset.

Enhancement, Demonstration, and Validation of the Wideband Instrument for Snow Measurements (WISM) Project

GPM Ground Validation Physicum Building Mast Meteorological Data LPVEx V1

The GPM Ground Validation Physicum Building Mast Meteorological Data LPVEx dataset consists of meteorological data (temperature, pressure, wind, precipitation, and radiation) collected from the Station for Measuring Ecosystem-Atmosphere Relations III (SMEAR III) at the University of Helsinki’s Physicum building rooftop weather station in Helsinki, Finland. These data were collected during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign that took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. These meteorological data files are available from September 16 through October 22, 2010 in ASCII-CSV and ASCII text formats.

GPM Ground Validation NEXRAD Level III KDVN IFloodS V1

The GPM Ground Validation NEXRAD Level III KDVN IFloodS dataset contain precipitation products derived from selected NEXt Generation Weather RADar system (NEXRAD) radars in operation during the Iowa Flood Studies (IFloodS) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Data were gathered from four NEXRAD stations in the vicinity of the IFloodS campaign during March 29, 2013 through June 18, 2013. This dataset contains data files of digital instantaneous precipitation rate (DPR) and storm total accumulation estimates (DTA) in NIDS binary format.

Rodent Research-1 (RR1) NASA Validation Flight: Mouse extensor digitorum longus muscle transcriptomic and epigenomic data

NASA's Rodent Research (RR) project is playing a critical role in advancing biomedical research on the physiological effects of space environments. Due to the limited resources for conducting biological experiments aboard the International Space Station (ISS), it is imperative to use crew time efficiently while maximizing high-quality science return. NASA's GeneLab project has as its primary objectives to 1) further increase the value of these experiments using a multi-omics, systems biology-based approach, and 2) disseminate these data without restrictions to the scientific community. The current investigation assessed viability of RNA, DNA, and protein extracted from archived RR-1 tissue samples for epigenomic, transcriptomic, and proteomic assays. During the first RR spaceflight experiment, a variety of tissue types were harvested from subjects, snap-frozen or RNAlater-preserved, and then stored at least a year at -80C after return to Earth. They were then prioritized for this investigation based on likelihood of significant scientific value for spaceflight research. All tissues were made available to GeneLab through the bio-specimen sharing program managed by the Ames Life Science Data Archive and included mouse adrenal glands, quadriceps, gastrocnemius, tibialis anterior, extensor digitorum longus, soleus, eye, and kidney. We report here protocols for and results of these tissue extractions, and thus, the feasibility and value of these kinds of omics analyses. In addition to providing additional opportunities for investigation of spaceflight effects on the mouse transcriptome and proteome in new kinds of tissues, our results may also be of value to program managers for the prioritization of ISS crew time for rodent research activities.

Rodent Research-1 (RR1) NASA Validation Flight: Mouse quadriceps muscle transcriptomic proteomic and epigenomic data

NASA s Rodent Research (RR) project is playing a critical role in advancing biomedical research on the physiological effects of space environments. Due to the limited resources for conducting biological experiments aboard the International Space Station (ISS) it is imperative to use crew time efficiently while maximizing high-quality science return. NASA s GeneLab project has as its primary objectives to 1) further increase the value of these experiments using a multi-omics systems biology-based approach and 2) disseminate these data without restrictions to the scientific community. The current investigation assessed viability of RNA DNA and protein extracted from archived RR-1 tissue samples for epigenomic transcriptomic and proteomic assays. During the first RR spaceflight experiment a variety of tissue types were harvested from subjects snap-frozen or RNAlater-preserved and then stored at least a year at -80C after return to Earth. They were then prioritized for this investigation based on likelihood of significant scientific value for spaceflight research. All tissues were made available to GeneLab through the bio-specimen sharing program managed by the Ames Life Science Data Archive and included mouse adrenal glands quadriceps gastrocnemius tibialis anterior extensor digitorum longus soleus eye and kidney. We report here protocols for and results of these tissue extractions and thus the feasibility and value of these kinds of omics analyses. In addition to providing additional opportunities for investigation of spaceflight effects on the mouse transcriptome and proteome in new kinds of tissues our results may also be of value to program managers for the prioritization of ISS crew time for rodent research activities.

GPM Ground Validation Optical Disdrometer (ODM) LPVEx V1

The GPM Ground Validation Optical Disdrometer (ODM) LPVEx dataset consists of precipitation particle size distribution data collected by the Eigenbrodt Optical Disdrometer (ODM) deployed onboard the RV Aranda research vessel. ODM was specifically designed to measure precipitation on ship-based platforms that experience high and variable winds. ODM’s ability to maintain the optimal orientation with respect to the wind allows it to obtain more accurate precipitation measurements in this type of environment. The ODM data were collected as part of the Light Precipitation Validation Experiment (LPVEx) in September and October of 2010 around the Gulf of Finland. The overarching goals of LPVEx were to detect and understand the process of light rainfall formation at high latitudes and to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms. The ODM dataset files are available in ASCII text format from September 15 through September 26, 2010.

GPM GROUND VALIDATION NOAA SURFACE METEOROLOGICAL STATION MC3E V1

The GPM Ground Validation NOAA Surface Meteorological Station MC3E dataset was collected at the NOAA Southern Great Plains Facility for the Midlatitude Continental Convective Clouds Experiment (MC3E) and includes measurements of wind speed, wind direction, temperature, humidity and precipitation. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The instruments gathering this data were respectively a propeller wind monitor located 10 meters above the ground, a temperature and humidity sensor at the ground, and a tipping rain gauge at the ground. These data were collected from April 5, 2011 to June 7, 2011.