David Santek

University of Wisconsin–Madison

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

William L. Hibbard

University of Wisconsin–Madison

Brett T. Hoover

NOAA Environmental Modeling Center

S. S. Limaye

University of Wisconsin–Madison

Sharon Nebuda

University of Wisconsin–Madison

Richard Dworak

University of Wisconsin–Madison

Steve Wanzong

NOAA Center for Satellite Applications and Research

Hui Liu

University of Maryland, College Park

Christopher S. Velden

University of Wisconsin–Madison

Iliana Genkova

National Oceanic and Atmospheric Administration

Kayo Ide

University of Maryland, College Park

Cooperative Institutions

University of Wisconsin–Madison

National Oceanic and Atmospheric Administration

NOAA National Environmental Satellite Data and Information Service

Cooperative Institute for Climate and Satellites

NOAA Center for Satellite Applications and Research

Goddard Space Flight Center

University of Maryland, College Park

Cooperative Institute for Research in Environmental Sciences

University of Colorado Boulder

University of Wisconsin System

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

4-D Techniques For Evaluation Of Atmospheric Model Forecasts

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1988)

David Santek Lance M. Leslie Brian Goodman George R. Diak Geary Callan

Evaluating model performance is difficult in light of the amount of data which is output that is to be compared to an analysis for verification. Examining 2-D plots of many different parameters at several levels is tedious. This information must then be mentally integrated in an attempt to understand where problems may exist. The use of 4-D displays can greatly aid in evaluations by presenting the output of the model as a volume instead of 2-D slices. A capability for 4-D displays of meteorological data is being developed at the Space Science and Engineering Center. The Man-computer Interactive Data Access System (McIDAS) is used for all aspects of the analysis: this includes acquiring data, running the model, storing the output and displaying the results. A version of the Australian Regional Analysis and Forecast Modules were applied to the eastern portion of the USA and adjacent Atlantic Ocean. This assimilation system is being used to analyze intensive observing periods during the GALE (Genesis of Atlantic Lows Experiment) field experiment.

Atmospheric models

Atmospheric research

10.1117/12.942648

Cite

Citations (6)

Management and display of four-dimensional environmental data sets using McIDAS

William L. Hibbard David Santek V. E. Suomi

Over the past four years, great strides have been made in the areas of data management and display of 4-D meteorological data sets. A survey was conducted of available and planned 4-D meteorological data sources. The data types were evaluated for their impact on the data management and display system. The requirements were analyzed for data base management generated by the 4-D data display system. The suitability of the existing data base management procedures and file structure were evaluated in light of the new requirements. Where needed, new data base management tools and file procedures were designed and implemented. The quality of the basic 4-D data sets was assured. The interpolation and extrapolation techniques of the 4-D data were investigated. The 4-D data from various sources were combined to make a uniform and consistent data set for display purposes. Data display software was designed to create abstract line graphic 3-D displays. Realistic shaded 3-D displays were created. Animation routines for these displays were developed in order to produce a dynamic 4-D presentation. A prototype dynamic color stereo workstation was implemented. A computer functional design specification was produced based on interactive studies and user feedback.

Interpolation

Base (topology)

Workstation

Source

Cite

Citations (0)

McIDAS-eXplorer: A Software Environment for Analysis of Planetary Data

AAS/Division for Planetary Sciences Meeting Abstracts #26 (1994)

S. S. Limaye L. A. Sromovsky Ronald A. Krauss E. Wright David Santek

Source

Cite

Citations (0)

S4: An O2R/R2O Infrastructure for Optimizing Satellite Data Utilization in NOAA Numerical Modeling Systems: A Step Toward Bridging the Gap between Research and Operations

Bulletin of the American Meteorological Society (2016)

Sid‐Ahmed Boukabara Tong Zhu Hendrik L. Tolman Steve Lord Steven J. Goodman

Abstract In 2011, the National Oceanic and Atmospheric Administration (NOAA) began a cooperative initiative with the academic community to help address a vexing issue that has long been known as a disconnection between the operational and research realms for weather forecasting and data assimilation. The issue is the gap, more exotically referred to as the “valley of death,” between efforts within the broader research community and NOAA’s activities, which are heavily driven by operational constraints. With the stated goals of leveraging research community efforts to benefit NOAA’s mission and offering a path to operations for the latest research activities that support the NOAA mission, satellite data assimilation in particular, this initiative aims to enhance the linkage between NOAA’s operational systems and the research efforts. A critical component is the establishment of an efficient operations-to-research (O2R) environment on the Supercomputer for Satellite Simulations and Data Assimilation Studies (S4). This O2R environment is critical for successful research-to-operations (R2O) transitions because it allows rigorous tracking, implementation, and merging of any changes necessary (to operational software codes, scripts, libraries, etc.) to achieve the scientific enhancement. So far, the S4 O2R environment, with close to 4,700 computing cores (60 TFLOPs) and 1,700-TB disk storage capacity, has been a great success and consequently was recently expanded to significantly increase its computing capacity. The objective of this article is to highlight some of the major achievements and benefits of this O2R approach and some lessons learned, with the ultimate goal of inspiring other O2R/R2O initiatives in other areas and for other applications.

10.1175/bams-d-14-00188.1

Cite

Citations (27)

Cloud-drift and water vapor winds in the polar regions from MODIS

IEEE Transactions on Geoscience and Remote Sensing (2003)

Jeffrey R. Key David Santek Chris Velden Niels Bormann Jean‐Noël Thépaut

Wind products from geostationary satellites have been generated for over 20 years and are now used in numerical weather prediction systems. However, geostationary satellites are of limited utility poleward of the midlatitudes. This study demonstrates the feasibility of deriving high latitude tropospheric wind information from polar-orbiting satellites. The methodology employed is based on the algorithms currently used with geostationary satellites, modified for use with the Moderate-Resolution Imaging Spectroradiometer (MODIS) infrared window and water vapor bands. These bands provide wind information throughout the troposphere in both clear and cloudy conditions. The project presents some unique challenges, including the irregularity of temporal sampling, varying viewing geometries, and uncertainties in wind vector height assignment as a result of low atmospheric water vapor amounts and thin clouds. A 30-day case study dataset has been produced and is being used in model impact studies. Preliminary results are encouraging: when the MODIS winds are assimilated in the European Centre for Medium Range Weather Forecasts (ECMWF) system and the NASA Data Assimilation Office system, forecasts of the geopotential height for the Arctic, the Northern Hemisphere extratropics, and the Antarctic are improved significantly.

Geopotential height

Middle latitudes

Moderate-resolution imaging spectroradiometer

Geopotential

10.1109/tgrs.2002.808238

Cite

Citations (92)

Visualizing large data sets in the earth sciences

Computer (1989)

William L. Hibbard David Santek

The authors describe the capabilities of McIDAS , an interactive visualization system that is vastly increasing the ability of earth scientists to manage and analyze data from remote sensing instruments and numerical simulation models. McIDAS provides animated three-dimensional images and highly interactive displays. The software can manage, analyze, and visualize large data sets that span many physical variables (such as temperature, pressure, humidity, and wind speed), as well as time and three spatial dimensions. The McIDAS system manages data from at least 100 different sources. The data management tools consist of data structures for storing different data types in files, libraries of routines for accessing these data structures, system commands for performing housekeeping functions on the data files, and reformatting programs for converting external data to the system's data structures. The McIDAS tools for three-dimensional visualization of meteorological data run on an IBM mainframe and can load up to 128-frame animation sequences into the workstations. A highly interactive version of the system can provide an interactive window into data sets containing tens of millions of points produced by numerical models and remote sensing instruments. The visualizations are being used for teaching as well as by scientists.< >

Workstation

NetCDF

ASCII

10.1109/2.35200

Cite

Citations (62)

2018 Atmospheric Motion Vector (AMV) Intercomparison Study

David Santek Richard Dworak Sharon Nebuda Steve Wanzong Régis Borde

Atmospheric Motion Vectors (AMVs) calculated by six different institutions (Brazil Center for Weather Prediction and Climate Studies/CPTEC/INPE, European Organization for the Exploitation of Meteorological Satellites/EUMETSAT, Japan Meteorological Agency/JMA, Korea Meteorological Administration/KMA, Unites States National Oceanic and Atmospheric Administration/NOAA and the Satellite Application Facility on Support to Nowcasting/NWCSAF) with JMA’s Himawari-8 satellite data and other common input data are here compared. The comparison is based on two different AMV input datasets, calculated with two different image triplets for 21 July 2016, and the use of a prescribed and a specific configuration. The main results of the study are summarized as follows: (1) the differences in the AMV datasets depend very much on the “AMV height assignment” used and much less on the use of a prescribed or specific configuration; (2) the use of the “Common Quality Indicator (CQI)” has a quantified skill in filtering collocated AMVs for an improved statistical agreement between centers; (3) JMA AMV algorithm has the best overall performance considering all validation metrics, most likely due to its height assignment: “optimal estimation using observed radiance and NWP wind vertical profile”.

Nowcasting

10.20944/preprints201908.0017.v1

Cite

Citations (6)

Back to the future: transition from operations to research

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2007)

Philip E. Ardanuy David Santek Andre Tarro Jerry Wegiel

Successful transition into a (robust and vibrant) enterprise realization of the Global Earth Observing System of Systems (GEOSS), and the Integrated Earth Observations System (IEOS) as the US component, spans a domain that includes: (1) the transition from research to operations across the "valleys of death and lost opportunities"; (2) the linkage of observations, analysis and modeling systems through data assimilation and the global forecast system; (3) stakeholders aligned along an "axis of good" that includes NSF, NASA, NOAA and its Cooperative Institutes, and end users who deliver socioeconomic benefits. An often-overlooked, yet critical, element of this enterprise is the bidirectional nature of the interfaces; specifically, the transition from operations to research. It is this return path that empowers the iterative and continuously improving nature of the enterprise. This paper evaluates three "best of breed" systems that are designed to exploit and enable the operations-to-research transition: the University of Wisconsin- Madison's Man computer Interactive Data Access System (McIDAS) V, the NOAA/National Weather Service's Advanced Weather Interactive Processing System (AWIPS) II, and the Air Force's Joint Environmental Toolkit (JET). From these, lessons learned and common attributes are identified. These provide a set of demonstrated and success-oriented best practices that future environmental systems may consider for incorporation into their objectives and requirements.

10.1117/12.736235

Cite

Citations (0)

A Model for Calculating Desert Aerosol Turbidity over the Oceans from Geostationary Satellite Data

Journal of applied meteorology (1980)

C. C. Norton Frederick R. Mosher Barry B. Hinton David W. Martin David Santek

A technique has been developed to infer the optical thickness of Saharan dust from Synchronous Meteorological Satellite (SMS) brightness measurements at visible wavelengths. The scattering model consists of an air layer, a dust layer and a lower boundary of variable albedo. Single-scatter properties of the dust computed from Mie theory were the basis for calculations by plane-parallel theory of radiative transfer in the dust layer. Radiative interactions between air and dust layers and the lower boundary were calculated with an adding version of the doubling scheme. Optical thickness was determined from satellite brightness measurements through a lookup table produced by the adding program. SMS visible sensors were calibrated from the prelaunch calibration measurements and measurements of sun and space. Error analysis and tests indicate a potential accuracy of ∼0.1 unit of optical thickness. The main limits on accuracy are digitizing resolution of the SMS visible signals, and mistaking clouds for dust in the satellite imagery. This technique of inferring Saharan dust turbidity has been verified and fine-tuned using surface turbidity measurements during GATE and corresponding SMS imagery.

Albedo (alchemy)

Single-scattering albedo

Optical depth

10.1175/1520-0450(1980)019<0633:amfcda>2.0.co;2

Cite

Citations (59)

A Model for Calculating Atmospheric Turbidity over the Oceans from Geostationary Satellite Data

C. C. Norton Frederick R. Mosher B. Hinton David W. Martin David Santek

Turbidity

Atmospheric models

Source

Cite

Citations (4)