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18 results for “Apu”
Figures 5-8 in Apu, a new genus of Euchromiina (Lepidoptera: Erebidae: Arctiinae: Arctiini), and a new species from the montane forests of southeastern Peru
Figures 5-8. Male genitalia of Apu mooreorum sp. nov. (Genitalia # JGA-411, MUSM). 5-7. 5. Vista dorsal. 6. Vista ventral. 7. Vista lateral. 8. Aedeagus. Scale: 1 mm. / Genitalia macho de Apu mooreorum sp. nov. (Genitalia # JGA-411, MUSM). 5-7. 5. Vista dorsal. 6. Vista ventral. 7. Vista lateral. 8. Edeago. Escala: 1 mm.
Figures 11-12 in Apu, a new genus of Euchromiina (Lepidoptera: Erebidae: Arctiinae: Arctiini), and a new species from the montane forests of southeastern Peru
Figures 11-12. Apu flavicornis (Druce, 1893) comb. nov. Syntype female in NHMUK. 11-12. 11. Dorsal view. 12. Ventral view. / Apu flavicornis (Druce, 1893) comb. nov. Sintipo hembra en NHMUK. 11-12. 11. Vista dorsal. 12. Vista ventral.
Figures 9-10 in Apu, a new genus of Euchromiina (Lepidoptera: Erebidae: Arctiinae: Arctiini), and a new species from the montane forests of southeastern Peru
Figures 9-10. Apu flavicornis (Druce, 1893) comb. nov. (Nieva river). 9-10. 9. Vista dorsal. 10. Vista ventral. Scale: 5 mm. / Apu flavicornis (Druce, 1893) comb. nov. (rÍo Nieva). 9-10. 9. Vista dorsal. 10. Vista ventral. Escala: 5 mm.
Figures 1-4 in Apu, a new genus of Euchromiina (Lepidoptera: Erebidae: Arctiinae: Arctiini), and a new species from the montane forests of southeastern Peru
Figures 1-4. Apu mooreorum sp. nov. 1-2. Holotype male. 1. Dorsal view. 2. Ventral view. 3-4. Female. 3. Dorsal view. 4. Ventral view. Scale: 5 mm. / Apu mooreorum sp. nov. 1-2. Holotipo macho. 1. Vista dorsal. 2. Vista ventral. 3-4. Hembra. 3. Vista dorsal. 4. Vista ventral. Escala: 5 mm.
Figures 13-14 in Apu, a new genus of Euchromiina (Lepidoptera: Erebidae: Arctiinae: Arctiini), and a new species from the montane forests of southeastern Peru
Figures 13-14. Apu flavicornis (Druce, 1893) comb. nov. (Genitalia # JGA-710, MUSM). 13. Dorsal view. 14. Ventral view. 15. Lateral view. 16. Aedeagus. Scale: 1 mm. / Apu flavicornis (Druce, 1893) comb. nov. (Genitalia # JGA-710, MUSM). 13-15. 13. Vista dorsal. 14. Vista ventral. 15. Vista lateral. 16. Edeago. Escala: 1 mm.
GPM Ground Validation Raw Autonomous Parsivel Unit (APU) IFloodS V1
The GPM Ground Validation Raw Autonomous Parsivel Unit (APU) IFloodS dataset was collected by 14 Autonomous Parsivel Unit (APU) sites in eastern Iowa during the Global Precipitation Measurement (GPM) mission Iowa Flood Studies (IFloodS) field campaign. The campaign aimed to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars while simultaneously collecting data from satellites passing overhead. APU is an optical disdrometer system that measures precipitation particle size and fall velocity. This dataset consists of APU-calculated parameters and unfiltered drop spectrum data. The dataset files are available in ASCII text format from April 1 through May 24, 2013. Officially, the IFloodS campaign ran from May 1 to June 15, 2013, but the APUs were installed and had begun collecting data prior to the start of the campaign.
GPM Ground Validation Autonomous Parsivel Unit (APU) ICE POP V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) ICE POP dataset was collected 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 Measurements mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. This dataset consists of precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration. Data are available in ASCII format from October 31, 2015 through July 1, 2018. It should be noted that this dataset extends prior to the field campaign.
GPM Ground Validation Autonomous Parsivel Unit (APU) OLYMPEX V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) OLYMPEX dataset was collected during the OLYMPEX field campaign held at Washington's Olympic Peninsula during the intense observation period of November 2015 to the end of January 2016. The dataset consists of data collected by 16 APUs. The APU is an optical laser-disdrometer based on single particle extinction that measures particle size and fall velocity. It consists of the Parsivel2 developed by OTT in Germany and supporting hardware developed by University of Alabama. This APU dataset provides precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration. Data are available in ASCII format.
GPM Ground Validation Autonomous Parsivel Unit (APU) Wallops Flight Facility (WFF) V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) Wallops Flight Facility (WFF) dataset consists of precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration obtained from six Autonomous Parsivel Units (APUs) positioned at the Wallops Flight Facility (WFF) in support of the Global Precipitation Mission (GPM). The APU is an optical laser-disdrometer based on single particle extinction that measures particle size and fall velocity. It consists of the Parsivel2 developed by OTT in Germany and supporting hardware developed by University of Alabama. Data are available in ASCII format for the period of May 6, 2013 through October 9, 2014.
Autonomous Parsivel Unit (APU) IMPACTS
The Autonomous Parsivel Unit (APU) IMPACTS data were collected in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. The IMPACTS field campaign addressed providing observations critical to understanding the mechanisms of snowband formation, organization, and evolution, examining how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands, and improving snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. This dataset consists of precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration. Data are available in ASCII format from January 15, 2020 through February 29, 2020.
GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) GCPEX V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) GCPEx dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer that measures the size and fall velocity of single precipitation particles. The APU consists of the Parsivel (the precipitation measuring instrument), developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. The GPM Cold-season Precipitation Experiment (GCPEx) addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The APU dataset for GCPEx provides precipitation data including raindrop size, raindrop counts, precipitation drop size, precipitation rate, precipitation amount, and snowflake size, counts and distribution. The GCPEx APU data was collected from several sites in Canada during the Winter 2011-2012 period.
GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) NSSTC V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) NSSTC dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer based on single particle extinction that measures particle size and fall velocity. This APU consists of the Parsivel, which was developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. This dataset provides rainfall data for the Global Precipitation Measurement (GPM) Mission Ground Validation Experiment collected at the National Space Science Technology Center (NSSTC) in Huntsville, Alabama. The validation effort will entail numerous GPM-specific and joint-agency/international external field campaigns, using state of the art cloud and precipitation observational infrastructure. Surface rainfall will be measured by very dense rain gauge and disdrometer networks at various field campaign sites. There may be occasional gaps in the data when the instrument is not resident at the NSSTC and is sent to participate in field campaigns.
GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) LPVEX V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) LPVEx dataset provides rainfall data for the Global Precipitation Measurement (GPM) Misson Ground Validation Experiment collected at four sites in Finland: Harmaja, Emasalo, Jarvenpaa, and the Gulf of Finland (Aranda) during the Light Precipitation Validation Experiment (LPVEx), which took place during September and October of 2010. The experiment leveraged in situ microphysical property measurements, coordinated remote sensing observations, and cloud resolving model simulations of high latitude precipitation systems to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms.
GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) HYMEX V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) HyMeX dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer that measures the size and fall velocity of single precipitation particles. The APU consists of the Parsivel (the precipitation measuring instrument), developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. The HYdrological cycle in Mediterranean EXperiment (HyMeX) aimed to improve the understanding, quantification and modelling of the hydrological cycle in the Mediterranean, with emphasis on the predictability and evolution of extreme weather events, inter-annual to decadal variability of the Mediterranean coupled system, and associated trends in the context of global changeThe APU dataset for HyMeX provides precipitation data including raindrop size, raindrop counts, precipitation drop size, precipitation rate, precipitation amount, and snowflake size, snowflake counts, and snowflake distribution. The HyMeX APU data were collected in Italy and France from September to November 2012.
GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) MC3E V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) MC3E dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer that measures the size and fall velocity of single precipitation particles. The APU consists of the Parsivel (the precipitation measuring instrument), developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. The APU dataset for the Midlatitude Continental Convective Clouds Experiment (MC3E) provides precipitation data including raindrop size, precipitation drop size, precipitation rate and amount. The Midlatitude Continental Convective Clouds Experiment (MC3E) took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The field campaign leveraged the unprecedented observing infrastructure currently available in the central United States, combined with an extensive sounding array, remote sensing and in situ aircraft observations, NASA GPM ground validation remote sensors, and new ARM instrumentation purchased with American Recovery and Reinvestment Act funding. 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.
GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) IPHEx V1
The GPM Ground Validation NASA Autonomous Parsivel Unit (APU) IPHEx dataset was acquired by multiple parsivel instruments during the GPM Integrated Precipitation and Hydrology Experiment (IPHEx), which took place in western North Carolina. IPHEx sought to characterize warm season orographic precipitation regimes, and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. The APU, an optical disdrometer based on single particle extinction, measures particle size, and fall velocity. ASCII encoded data files contain information on the drop size distribution and integral precipitation parameters such as precipitation rate, reflectivity, and mass-weighted mean diameter.
GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) IFLOODS V1
The GPM Ground Validation Autonomous Parsivel Unit (APU) IFloodS dataset collected data from several sites in eastern Iowa during the spring of 2013. The APU dataset for the Iowa Flood Studies (IFloodS) Field Experiment provides precipitation data including precipitation drop size, counts, and distribution. 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 APU is an optical disdrometer based on single particle extinction that measures particle size and fall velocity. This APU consists of the Parsivel, which was developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville.
Autonomous Parsivel Unit (APU) IMPACTS V1
The Autonomous Parsivel Unit (APU) IMPACTS data were collected in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. The IMPACTS field campaign addressed providing observations critical to understanding the mechanisms of snowband formation, organization, and evolution, examining how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands, and improving snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. This dataset consists of precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration. Data are available in ASCII format from January 15, 2020 through February 29, 2020.
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.