Advancement of Chinese Meteorological Feng-Yun (FY) and Oceanic Hai-Yang (HY) Satellite Remote Sensing

Jin, Ya‐Qiu; Lu, Naimeng; Lin, Minseng

doi:10.1109/jproc.2009.2034283

Cited by 20 publications

(5 citation statements)

References 4 publications

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“…The sensors carried onboard LEO satellites range from visible (Vis) and infrared (IR) to passive microwave (PMW) and active microwave (AMW or radar). The current LEO satellites include the NOAA Joint Polar Satellite System (JPSS) series, [68], the European Meteorological Operational (MetOp) satellite series [69,70] and the Chinese Fengyun (FY) series [71]. These operational missions are augmented by scientific missions such as the GPM Core Observatory (GPM-CO), the U.S. Department of Defense (DoD) Meteorological Satellite Program (DMSP) satellites [72] and the Japan Aerospace Exploration Agency (JAXA) Global Change Observation Mission (GCOM) [73].…”

Section: Satellite-based Measurementsmentioning

confidence: 99%

“…The current LEO satellites include the NOAA Joint Polar Satellite System (JPSS) series, [67], the European Meteorological Operational (MetOp) satellite series [68,69] and the Chinese Fengyun (FY) series [70]. These operational missions are augmented by scientific missions such as the GPM Core Observatory (GPM-CO), the U.S. Department of Defense (DoD) Meteorological Satellite Program (DMSP) satellites [71] and the Japan Aerospace Exploration Agency (JAXA) Global Change Observation Mission (GCOM) [72]. Such missions provide very good coverage over the polar regions due to their orbital configuration (Figure 3), and therefore have great potential for improving observations of precipitation in these sparse data regions.…”

Section: Satellite-based Measurementsmentioning

confidence: 99%

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The State of Precipitation Measurements at Mid-to-High Latitudes

Milani,

Kidd

2023

Atmosphere

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The measurement of global precipitation is important for quantifying and understanding the Earth’s systems. While gauges form the basis of conventional measurements, global measurements are only truly possible using satellite observations. Over the last 50–60 years, satellite systems have evolved to provide a comprehensive suite of observing systems, including many sensors that are capable of precipitation retrievals. While much progress has been made in developing and implementing precipitation retrieval schemes, many techniques have concentrated upon retrievals over regions with well-defined precipitation systems, such as the tropics. At higher latitudes, such retrieval schemes are less successful in providing accurate and consistent precipitation estimates, especially due to the large diversity of precipitation regimes. Furthermore, the increasing dominance of snowfall at higher latitudes imposes a number of challenges that require further, urgent work. This paper reviews the state of the current observations and retrieval schemes, highlighting the key factors that need to be addressed to improve the estimation and measurement of precipitation at mid-to-high latitudes.

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Section: Satellite-based Measurementsmentioning

confidence: 99%

Section: Satellite-based Measurementsmentioning

confidence: 99%

The State of Precipitation Measurements at Mid-to-High Latitudes

Milani,

Kidd

2023

Atmosphere

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“…tsunami, hurricane), the environment, travel, nature and geography, illustrating history, presidential elections etc. [9] . Keyhole Markup Language (KML) can be utilized to present and display geospatial data on Google Earth, Google Maps, Google Maps for mobile, and Microsoft Virtual Earth as well as many other digital mapping platforms.…”

Section: Introductionmentioning

confidence: 99%

“…Shi and Meng [3] integrated and interoperated multiple theme data on the basis of Google Earth. Chen et al [1,2,5,6,9] have used KML and KMZ to visualize and synergize NASA earth science data on Google Earth since 2007. NASA Goddard Earth Science (GES) Data and Information Service Center (DISC) has developed many tools for visualizing 2D, 3D and 4D Earth science data on Google Earth on their website http://disc.sci.gsfc.nasa.gov/.…”

Section: Introductionmentioning

confidence: 99%

“…NOAA researchers also display real-time weather information in Google Earth familiar to the general public. Duncan et al [9] displayed 3D seismicity with Google Earth. Also, Yamagishi et al [10] have developed a visualization system for multidisciplinary geosciences data, which visualizes seismic tomographic models, geochemical datasets of rocks, and geomagnetic field models by exploiting Google Earth technologies.…”

Section: Introductionmentioning

confidence: 99%

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Mapping and analysis using multisource oceanic satellite data and google earth engine

Kang

Wang

2022

SHS Web Conf.

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Ocean satellite observation because of its large coverage area and high frequency observation become ever more important data and information source with global climate changing, ocean resources protecting and oceanic engineering projects implementing. Oceanic satellite data characteristically include multi-physical parameters, are the product of multi-level processing and are multi-sourced data. Therefore, oceanic satellite data often have different manifestations making the understanding and use of these data challenging, and there is an urgent need for a flexible platform to share the data and merge different kinds of the data information. Here we use Google Earth Engine that make these data easily understandable and a fully synthesized and comprehensive visualization. Then the key techniques for creating 2D and 3D visualizations of oceanic satellite data using KML and Google Earth are detailed in this paper. As an example, multi-sourced satellite data including horizontal distribution and vertical profiles of Typhoon Morakot in August 2009 are combined on Google Earth with three-dimensional visualization. We have extended this research and developed a web service system based on an oceanic satellite visualization data model to dynamically display different types of the oceanic satellite data on Google Earth.

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Effects of anthropogenic water regulation and groundwater lateral flow on land processes

Zeng

Xie

et al. 2016

J Adv Model Earth Syst

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Both anthropogenic water regulation and groundwater lateral flow essentially affect groundwater table patterns. Their relationship is close because lateral flow recharges the groundwater depletion cone, which is induced by over‐exploitation. In this study, schemes describing groundwater lateral flow and human water regulation were developed and incorporated into the Community Land Model 4.5. To investigate the effects of human water regulation and groundwater lateral flow on land processes as well as the relationship between the two processes, three simulations using the model were conducted for the years 2003–2013 over the Heihe River Basin in northwestern China. Simulations showed that groundwater lateral flow driven by changes in water heads can essentially change the groundwater table pattern with the deeper water table appearing in the hillslope regions and shallower water table appearing in valley bottom regions and plains. Over the last decade, anthropogenic groundwater exploitation deepened the water table by approximately 2 m in the middle reaches of the Heihe River Basin and rapidly reduced the terrestrial water storage, while irrigation increased soil moisture by approximately 0.1 m3 m−3. The water stored in the mainstream of the Heihe River was also reduced by human surface water withdrawal. The latent heat flux was increased by 30 W m−2 over the irrigated region, with an identical decrease in sensible heat flux. The simulated groundwater lateral flow was shown to effectively recharge the groundwater depletion cone caused by over‐exploitation. The offset rate is higher in plains than mountainous regions.

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Advancement of Chinese Meteorological Feng-Yun (FY) and Oceanic Hai-Yang (HY) Satellite Remote Sensing

Cited by 20 publications

References 4 publications

The State of Precipitation Measurements at Mid-to-High Latitudes

The State of Precipitation Measurements at Mid-to-High Latitudes

Mapping and analysis using multisource oceanic satellite data and google earth engine

Effects of anthropogenic water regulation and groundwater lateral flow on land processes

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