LANCE, NASA’s Land, Atmosphere Near Real-Time Capability for EOS

Murphy, Kevin J.; Davies, David K.; Michael, Karen; Justice, Christopher O.; Schmaltz, J. E.; Boller, R. A.; McLemore, Bruce; Ding, Feng; Vollmer, Bruce; Wong, Min Minnie

doi:10.1007/978-1-4939-2602-2_8

Cited by 10 publications

(9 citation statements)

References 8 publications

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“…These formed the basis for all pre-and postmission scientific analysis. During the field campaign we also used near-real-time (NRT) V5 L1B fields from NASA's Land Atmosphere NRT Capability for EOS (LANCE;Murphy et al 2015), which generally appeared on the GES DISC &3 h after acquisition. NRT radiances contain geolocation errors due to less accurate ephemeris and attitude data, and radiance calibration errors due to lack of space-view fields at times of recent outages [see section 3.2.2.2 of Murphy et al (2015)].…”

Section: A Airs 15-mm Productsmentioning

confidence: 99%

“…During the field campaign we also used near-real-time (NRT) V5 L1B fields from NASA's Land Atmosphere NRT Capability for EOS (LANCE;Murphy et al 2015), which generally appeared on the GES DISC &3 h after acquisition. NRT radiances contain geolocation errors due to less accurate ephemeris and attitude data, and radiance calibration errors due to lack of space-view fields at times of recent outages [see section 3.2.2.2 of Murphy et al (2015)]. The former yields very small location errors (typically much smaller than footprint diameters), while the latter is infrequent, small (typically ;0.1 K) and has little net impact on gravity wave products, which remove large-scale radiance structure to isolate perturbations.…”

Section: A Airs 15-mm Productsmentioning

confidence: 99%

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Stratospheric Gravity Wave Products from Satellite Infrared Nadir Radiances in the Planning, Execution, and Validation of Aircraft Measurements during DEEPWAVE

Eckermann

Doyle²,

Reinecke³

et al. 2019

Journal of Applied Meteorology and Climatology

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Gravity wave perturbations in 15-μm nadir radiances from the Atmospheric Infrared Sounder (AIRS) and Cross-Track Infrared Sounder (CrIS) informed scientific flight planning for the Deep Propagating Gravity Wave Experiment (DEEPWAVE). AIRS observations from 2003 to 2011 identified the South Island of New Zealand during June–July as a “natural laboratory” for observing deep-propagating gravity wave dynamics. Near-real-time AIRS and CrIS gravity wave products monitored wave activity in and around New Zealand continuously within 10 regions of scientific interest, providing nowcast guidance and validation for flight planners. A novel technique used these gravity wave products to validate upstream forecasts of nonorographic gravity waves with 1–2-day lead times, providing time to plan flight intercepts as tropospheric westerlies brought forecast source regions into range. Postanalysis verifies the choice of 15 μm radiances for nowcasting, since 4.3-μm gravity wave products yielded spurious diurnal cycles, provided no altitude sensitivity, and proved relatively insensitive to deep gravity wave activity over the South Island. Comparisons of DEEPWAVE flight tracks with AIRS and CrIS gravity wave maps highlight successful repeated vectoring of the aircraft into regions of deep orographic and nonorographic gravity wave activity, and how background winds control the amplitude of waves in radiance perturbation maps. We discuss how gravity wave information in AIRS and CrIS radiances might be directly assimilated into future operational forecasting systems.

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Section: A Airs 15-mm Productsmentioning

confidence: 99%

Section: A Airs 15-mm Productsmentioning

confidence: 99%

Stratospheric Gravity Wave Products from Satellite Infrared Nadir Radiances in the Planning, Execution, and Validation of Aircraft Measurements during DEEPWAVE

Eckermann

Doyle²,

Reinecke³

et al. 2019

Journal of Applied Meteorology and Climatology

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“…The ICESat mission's internal Science Computing Facility (SCF) visualizer was built for specialist users and prioritized granular control of data selection over visualization functionality or ease of use. NASA's WorldView (Murphy et al 2015), which is an excellent example of a user-focused data exploration tool, is nevertheless oriented toward raster data and only shows ICESat/ICESat-2 ground tracks.…”

Section: The Design Drivers For Openaltimetrymentioning

confidence: 99%

OpenAltimetry - rapid analysis and visualization of Spaceborne altimeter data

et al. 2020

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NASA’s Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) carries a laser altimeter that fires 10,000 pulses per second towards Earth and records the travel time of individual photons to measure the elevation of the surface below. The volume of data produced by ICESat-2, nearly a TB per day, presents significant challenges for users wishing to efficiently explore the dataset. NASA’s National Snow and Ice Data Center (NSIDC) Distributed Active Archive Center (DAAC), which is responsible for archiving and distributing ICESat-2 data, provides search and subsetting services on mission data products, but providing interactive data discovery and visualization tools needed to assess data coverage and quality in a given area of interest is outside of NSIDC’s mandate. The OpenAltimetry project, a NASA-funded collaboration between NSIDC, UNAVCO and the University of California San Diego, has developed a web-based cyberinfrastructure platform that allows users to locate, visualize, and download ICESat-2 surface elevation data and photon clouds for any location on Earth, on demand. OpenAltimetry also provides access to elevations and waveforms for ICESat (the predecessor mission to ICESat-2). In addition, OpenAltimetry enables data access via APIs, opening opportunities for rapid access, experimentation, and computation via third party applications like Jupyter notebooks. OpenAltimetry emphasizes ease-of-use for new users and rapid access to entire altimetry datasets for experts and has been successful in meeting the needs of different user groups. In this paper we describe the principles that guided the design and development of the OpenAltimetry platform and provide a high-level overview of the cyberinfrastructure components of the system.

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“…In the case of data that can be represented as images, it is beneficial for users to be able to visualize them and select the data that they want to download and analyze. Enabling this for large volume datasets is a challenge that the ESDIS Project has successfully addressed through its Global Imagery Browse System (GIBS) and the WorldView client software (Murphy et al 2015). The GIBS consists of a database of images stored in a hierarchical manner to enable rapid access to data at multiple resolutions.…”

Section: Enabling Data Discovery and Accessmentioning

confidence: 99%

“…We have only started examination of analysis-ready data concepts in the context of EOSDIS through the ESDSWG (NASA 2019b). A step in this direction is the preparation of visualization-ready data in the EOSDIS Global Image Browse System (GIBS) mentioned above (Murphy et al 2015). While not quite analysis-ready, nearly 800 different types of data that can be represented as images are available for fullresolution visualization.…”

Section: Enabling Data Discovery and Accessmentioning

confidence: 99%

NASA’s Earth Observing Data and Information System – Near-Term Challenges

Behnke

Mitchell

Ramapriyan

2019

Data Science Journal

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NASA's Earth Observing System Data and Information System (EOSDIS) has been a central component of the NASA Earth observation program since the 1990's. EOSDIS manages data covering a wide range of Earth science disciplines including cryosphere, land cover change, polar processes, field campaigns, ocean surface, digital elevation, atmospheric dynamics and composition, and inter-disciplinary research, and many others. One of the key components of EOSDIS is a set of twelve discipline-based Distributed Active Archive Centers (DAACs) distributed across the United States. Managed by NASA's Earth Science Data and Information System (ESDIS) Project at the Goddard Space Flight Center, these DAACs serve over 4 million users globally. The ESDIS Project provides the infrastructure support for EOSDIS, which includes other components such as common metadata and metrics management systems, specialized network systems, standards management, and centralized support for use of commercial cloud capabilities. Given the long-term requirements, and the rapid pace of information technology and changing expectations of the user community, EOSDIS has evolved continually over the past three decades. However, many challenges remain. Challenges in three key areas are addressed in this paper: managing volume and variety, enabling data discovery and access, and incorporating user feedback and concerns.

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LANCE, NASA’s Land, Atmosphere Near Real-Time Capability for EOS

Cited by 10 publications

References 8 publications

Stratospheric Gravity Wave Products from Satellite Infrared Nadir Radiances in the Planning, Execution, and Validation of Aircraft Measurements during DEEPWAVE

Stratospheric Gravity Wave Products from Satellite Infrared Nadir Radiances in the Planning, Execution, and Validation of Aircraft Measurements during DEEPWAVE

OpenAltimetry - rapid analysis and visualization of Spaceborne altimeter data

NASA’s Earth Observing Data and Information System – Near-Term Challenges

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