A review of satellite meteorology and climatology at the start of the twenty-first century

Kidd, Chris; Levizzani, Vincenzo; Bauer, Péter

doi:10.1177/0309133309346647

Cited by 40 publications

(25 citation statements)

References 112 publications

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“…Atmospheric remote sensing from satellites is a major source of data for the atmospheric sciences and for operational weather forecasting (Kidd et al, 2009). Measurements from Earth observation satellites have a global or near-global coverage.…”

Section: Introductionmentioning

confidence: 99%

Collocating satellite-based radar and radiometer measurements – methodology and usage examples

et al. 2010

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Abstract. Collocations between two satellite sensors are occasions where both sensors observe the same place at roughly the same time. We study collocations between the Microwave Humidity Sounder (MHS) on-board NOAA-18 and the Cloud Profiling Radar (CPR) on-board CloudSat. First, a simple method is presented to obtain those collocations and this method is compared with a more complicated approach found in literature. We present the statistical properties of the collocations, with particular attention to the effects of the differences in footprint size. For 2007, we find approximately two and a half million MHS measurements with CPR pixels close to their centrepoints. Most of those collocations contain at least ten CloudSat pixels and image relatively homogeneous scenes. In the second part, we present three possible applications for the collocations. Firstly, we use the collocations to validate an operational Ice Water Path (IWP) product from MHS measurements, produced by the National Environment Satellite, Data and Information System (NESDIS) in the Microwave Surface and Precipitation Products System (MSPPS). IWP values from the CloudSat CPR are found to be significantly larger than those from the MSPPS. Secondly, we compare the relation between IWP and MHS channel 5 (190.311 GHz) brightness temperature for two datasets: the collocated dataset, and an artificial dataset. We find a larger variability in the collocated dataset. Finally, we use the collocations to train an Artificial Neural Network and describe how we can use it to develop a new MHS-based IWP product. We also study the effect of adding measurements from the High Resolution Infrared Radiation Sounder (HIRS), channels 8 (11.11 µm) and 11 (8.33 µm). This shows a small improvement in the retrieval quality. The collocations described in the article are available for public use.

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Section: Introductionmentioning

confidence: 99%

Collocating satellite-based radar and radiometer measurements – methodology and usage examples

et al. 2010

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“…It is noted that the mapping of soil surface roughness structure has benefited from optical remote sensing (eg, hyperspectral systems in the near infrared and shortwave infrared), with advances in microwave systems (eg, the German TerraSAR-X satellite system) contributing significantly to soil moisture estimation. This latter point is echoed in the papers by Kidd et al (2009) andTang et al (2009), soil moisture being an important input into both metrological/climate and hydrological studies. In particular, satellite sensor data have become even more invaluable with the advance of numerical weather prediction models (Kidd et al, 2009): observing the atmosphere exploits both low-Earth (including polar) orbiting (eg, the Cloud Profiling Radar (CPR) on CLOUDSAT) and geostationary satellite systems (eg, the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on the Meteosat Second Generation satellite system).…”

mentioning

confidence: 91%

“…This latter point is echoed in the papers by Kidd et al (2009) andTang et al (2009), soil moisture being an important input into both metrological/climate and hydrological studies. In particular, satellite sensor data have become even more invaluable with the advance of numerical weather prediction models (Kidd et al, 2009): observing the atmosphere exploits both low-Earth (including polar) orbiting (eg, the Cloud Profiling Radar (CPR) on CLOUDSAT) and geostationary satellite systems (eg, the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on the Meteosat Second Generation satellite system). Kidd et al (2009) provide a comprehensive overview of how remotely sensed data from these systems are used, including surface temperature estimation, at or near surface radiation recording, (near real time) rainfall measurement, near surface wind monitoring and GPS radio signal path delay.…”

mentioning

confidence: 91%

“…In particular, satellite sensor data have become even more invaluable with the advance of numerical weather prediction models (Kidd et al, 2009): observing the atmosphere exploits both low-Earth (including polar) orbiting (eg, the Cloud Profiling Radar (CPR) on CLOUDSAT) and geostationary satellite systems (eg, the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on the Meteosat Second Generation satellite system). Kidd et al (2009) provide a comprehensive overview of how remotely sensed data from these systems are used, including surface temperature estimation, at or near surface radiation recording, (near real time) rainfall measurement, near surface wind monitoring and GPS radio signal path delay. It is concluded that the recent development of new observational capabilities has led to new insights into atmospheric processes and their interaction, allowing the consequences of anthropogenic activities, such as climate change, to be monitored.…”

mentioning

confidence: 99%

“…This is particularly pertinent for those involved in the operational applications of remote sensing. For instance, as noted by Kidd et al (2009), future meteorological and climatological studies will rely on the planned operational capabilities afforded by the polar-orbiting missions of European MetOp series of satellites and the US NOAA satellites (eg, NOAA-N, 2009 onwards) and complemented by geostationary satellites such as the GOES-R satellite, the Advanced Baseline Imager (ABI), and the Meteosat Third Generation.…”

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confidence: 99%

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Remote sensing in physical geography: a twenty-first-century perspective

Boyd

2009

Progress in Physical Geography: Earth and Environment

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Timely, high-quality data from remote sensing can benefi t the study of physical geography in many ways (Wolman, 2004). Rapid developments in remote sensing, particularly from satellite platforms, have generated much, often well-placed, enthusiasm about its potential as a powerful research tool (Skole, 2004). Indeed, remote sensing is viewed by many as having come of age (Tatem et al., 2008) and can be deemed a mature discipline with its physical principles well understood and its range of applications a showcase of its versatility (Warner et al., 2009). Historically, physical geography has benefited greatly from the emergence of new technologies, like remote sensing, and is likely to continue to reap benefi ts from further technological advances in the foreseeable future (Rhoads, 2004). The beginning of the twenty-fi rst century promised to be a period of technological innovation, with remote sensing identifi ed as one of 21 technologies well placed to meet contemporary issues and challenges facing society (AllBusiness, 2001). Given that many of these challenges involve the interaction between society and the physical environment (Demeritt, 2009), and that there is an increasing need for all areas of science, including physical geography, to iterate their value to society (Rediscovering Geography Committee, NRC, 1997), the close of the fi rst decade of the twenty-fi rst century is a suitable point at which to take stock of current trends and developments in remote sensing within physical geography and interrelated fi elds.Remote sensing is useful for the physical geographer not only as a tool for data collection, with superiority over other techniques by virtue of its spatial and temporal coverage, but also because of the logic implicit in the reasoning process employed to analyse the data (Estes et al., 1980). In addition to the experimental, hypothetical and case-study style of reasoning that tends to characterize the use of remote sensing within physical geography, there are increasingly operational modes of usage (eg, within meteorology and climatology, hazard management). Since the turn of the twenty-fi rst century more than 100 satellite sensors have been launched (www.itc.nl/research/products/sensordb/ searchsat.aspx) and numerous airborne and terrestrial sensors manufactured. Many of these sensors are the result of emerging technologies (eg, Krabach, 2000), with the processing and interpretation of the data acquired benefiting from advanced pro-

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Cloud characteristics over the Yunnan–Guizhou plateau as observed by MODIS and Himawari‐8

Yu,

Zhuge,

Yuan

et al. 2023

Intl Journal of Climatology

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Cloud descriptions and parameterizations are major sources of uncertainty in weather and climate modelling studies. In this study, we investigated the cloud properties over the Yunnan–Guizhou Plateau (YGP) by using the Moderate Resolution Imaging Spectroradiometer (MODIS) and Himawari‐8 (H8_Japan and H8_Zhuge) cloud datasets. Corresponding to their distinct terrain features, the cloud climate patterns on the western and eastern sides of the YGP are different. Our results show that the spatial patterns of the cloud parameters in all three datasets are very similar over the YGP, especially the cloud cover and cloud effective radius. The high cloud frequency region is located to the east of Yunnan–Guizhou quasi‐stationary front in cold season, and the largest gradient is along front. On frontal days, the regional differences in the cloud properties over the YGP are much more obvious, with the cloud cover across the front increasing from ~20%–35% on its western side to more than 95% on its eastern side. Furthermore, higher thin clouds with larger cloud effective radius typically exist on the western side of the front, while lower thick clouds with smaller particles appear on its eastern side. This study enhances our understanding how cloud characteristics impact by the frontal system and provide a valuable insight for the design and improvement of cloud microphysics parameters in weather forecast models over the YGP region.

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A review of satellite meteorology and climatology at the start of the twenty-first century

Cited by 40 publications

References 112 publications

Collocating satellite-based radar and radiometer measurements – methodology and usage examples

Collocating satellite-based radar and radiometer measurements – methodology and usage examples

Remote sensing in physical geography: a twenty-first-century perspective

Cloud characteristics over the Yunnan–Guizhou plateau as observed by MODIS and Himawari‐8

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