Statistical analysis of cloud characteristics in Northwest China based on Fengyun satellite data

2018 ◽  
pp. e4972
Author(s):  
Mengyue Zhao ◽  
Jiaji Wu ◽  
Gwanggil Jeon ◽  
Xing Guo
Keyword(s):  
Statistical Analysis ◽  
Satellite Data ◽  
Northwest China ◽  
Cloud Characteristics

scholarly journals Evapotranspiration Partitioning at Field Scales Using TSEB and Multi-Satellite Data Fusion in The Middle Reaches of Heihe River Basin, Northwest China

2020 ◽  
Vol 12 (19) ◽  
pp. 3223
Author(s):  
Yan Li ◽  
Chunlin Huang ◽  
William P. Kustas ◽  
Hector Nieto ◽  
Liang Sun ◽  
...  
Keyword(s):  
Data Fusion ◽  
River Basin ◽  
Satellite Data ◽  
Temporal Dynamics ◽  
Surface Flux ◽  
Northwest China ◽  
Heihe River Basin ◽  
Heihe River ◽  
Field Scale ◽  
Natural Ecosystems

Daily evapotranspiration (ET) and its components of evaporation (E) and transpiration (T) at field scale are often required for improving agricultural water management and maintaining ecosystem health, especially in semiarid and arid regions. In this study, multi-year daily ET, E, and T at a spatial resolution of 100 m in the middle reaches of Heihe River Basin were computed based on an ET partitioning method developed by combing remote sensing-based ET model and multi-satellite data fusion methodology. Evaluations using flux tower measurements over irrigated cropland and natural desert sites indicate that this method can provide reliable estimates of surface flux partitioning and daily ET. Modeled daily ET yielded root mean square error (RMSE) values of 0.85 mm for cropland site and 0.84 mm for desert site, respectively. The E and T partitioning capabilities of this proposed method was further assessed by using ratios E/ET and T/ET derived from isotopic technology at the irrigated cropland site. Results show that apart from early in the growing season when the actual E was reduced by plastic film mulching, the modeled E/ET and T/ET agree well with observations in terms of both magnitude and temporal dynamics. The multi-year seasonal patterns of modeled ET, E, and T at field scale from this ET partitioning method shows reasonable seasonal variation and spatial variability, which can be used for monitoring plant water consumption in both agricultural and natural ecosystems.

Statistical analysis of groundwater chemistry of the Tarim River lower reaches, Northwest China

2011 ◽  
Vol 65 (6) ◽  
pp. 1807-1820 ◽  
Author(s):  
Jianhua Xu ◽  
Yaning Chen ◽  
Weihong Li ◽  
Lijun Zhang ◽  
Yulian Hong ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Northwest China ◽  
Groundwater Chemistry ◽  
Tarim River ◽  
The Tarim River

A statistical analysis method estimating dust aerosol-ice cloud interactions using global circulation model and satellite data

2020 ◽  
Author(s):  
Thomas Offenwanger ◽  
Christoph Beck ◽  
Thomas Popp ◽  
Johannes Hendricks ◽  
Mattia Righi
Keyword(s):  
Statistical Analysis ◽  
Satellite Data ◽  
Circulation Model ◽  
Dust Aerosol ◽  
Analysis Method ◽  
Global Circulation Model ◽  
Ice Cloud ◽  
Global Circulation ◽  
Cloud Properties ◽  
Statistical Analysis Method

<p>A statistical analysis method to quantify dust aerosol interactions with ice cloud properties using IASI satellite data has been developed and published by L. Klüser et al. 2017. Key components of analyzing cloud properties are their classification by aerosol load and their normalization in respect to the meteorological state using a Bayes-approach. Comparing histograms of cloud properties for different aerosol classes gives then insight in statistical changes of their distribution. Using the same method twice on IASI-IMARS satellite retrieval and EMAC-MADE3 global circulation model data yields valuable insights on changes in cloud forming and lifecycle behavior inflicted by dust aerosol pollution. Overcoming scale differences between observation and simulation data sets has been a major obstacle as they have evident impact on the analysis results. Therefore, a statistical downscaling method has been customized to EMAC-MADE3 model data that focuses on preservation of critical processes while still approximating fine-scale patterns below model resolution. Both statistical analysis results for model and satellite data show clear aerosol impact on cloud property distributions with varying magnitudes and demonstrate the necessity of downscaling. More detailed analysis conducted with an increased number of aerosol classes shows quantifiable trends in aerosol impact on cloud properties.</p>

scholarly journals Statistical properties of auroral kilometer radiation: based on ERG (ARASE) satellite data

2021 ◽  
Vol 7 (1) ◽  
pp. 13-20
Author(s):  
Valeria Kolpak ◽  
Michael Mogilevsky ◽  
Dmitriy Chugunin ◽  
Aleksandr Chernyshov ◽  
Irina Moiseenko ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Radiation Pattern ◽  
Satellite Data ◽  
Radiation Intensity ◽  
Seasonal Changes ◽  
Cone Angle ◽  
Open Questions ◽  
Detailed Statistical Analysis ◽  
Using Data ◽  
Northern And Southern Hemispheres

In this work, we have studied the signals of auroral kilometer radiation (AKR) from sources in the auroral regions of the Northern and Southern hemispheres simultaneously recorded by one satellite. We have carried out a detailed statistical analysis of more than 20 months of continuous AKR measurements made by the ERG satellite (also known as Arase). This made it possible to confirm the previously obtained results on the location of AKR sources and seasonal changes in the radiation intensity. Open questions about the processes in the AKR source can be solved using data on the radiation pattern under various geomagnetic conditions. To answer these questions, we have estimated the cone angle of directional diagrams in the dusk and dawn sectors of Earth’s magnetosphere.

scholarly journals Statistical analysis of distribution patterns of coal seams in fold zones in Northwest China

2018 ◽  
Vol 28 (5) ◽  
pp. 819-828 ◽  
Author(s):  
Anye Cao ◽  
Guangcheng Jing ◽  
Linming Dou ◽  
Yun Wu ◽  
Chengguo Zhang
Keyword(s):  
Statistical Analysis ◽  
Distribution Patterns ◽  
Northwest China ◽  
Coal Seams

scholarly journals Statistical Analysis of the Spatiotemporal Distribution of Ozone Induced by Cut-Off Lows in the Upper Troposphere and Lower Stratosphere over Northeast Asia

Atmosphere ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 696 ◽  
Author(s):  
Dan Chen ◽  
Tian-Jiao Zhou ◽  
Li-Yun Ma ◽  
Chun-Hua Shi ◽  
Dong Guo ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Satellite Data ◽  
Lower Stratosphere ◽  
Northeast Asia ◽  
Transport Processes ◽  
Spatiotemporal Distribution ◽  
Horizontal Wind ◽  
Upper Troposphere ◽  
Middle Troposphere ◽  
Ozone Distribution

This paper presents the results of a statistical study of the spatiotemporal distribution of ozone in the upper troposphere and lower stratosphere (UTLS) regions induced by cut-off lows (COLs) over Northeast Asia. The analysis was based on high-resolution ERA-Interim ozone data and Atmospheric Infrared Sounder (AIRS) satellite data for the period from 2005–2015. A total of 186 COL events were detected. The observed ozone distribution revealed an ozone-rich region in the upper troposphere (300 hPa) located around the center of the COLs at the time when COLs reached their maximum intensity. This region corresponds to a region of high potential vorticity (PV). In the middle troposphere (500 hPa), enhanced levels of the ozone were distributed in two regions. The maximum concentration was located to the east of the COLs, and a secondary maximum region was in the center of the COLs. Further analysis revealed that this spatial distribution of ozone in the upper troposphere was affected mainly by decreased tropopause. The ozone was subject to a ‘rotary’ transport process in the middle troposphere, influenced mainly by the anticlockwise circulation of the COLs and the surrounding horizontal wind distribution. The temporal variations in ozone anomalies also revealed the ozone distribution patterns and transport processes. The variation in ozone anomalies implied that the magnitude of the ozone increase was closely related to the evolution of COLs lifecycle. The temporal and spatial distributions of the ozone revealed by the statistical analysis of the AIRS satellite data were overall consistent with those of the ERA-Interim data.

Identification model of water inrush source based on statistical analysis in Fengyu minefield, Northwest China

2021 ◽  
Vol 14 (6) ◽  
Author(s):  
Chenguang Song ◽  
Leihua Yao ◽  
Jun Gao ◽  
Chengya Hua ◽  
Qihang Ni
Keyword(s):  
Statistical Analysis ◽  
Water Inrush ◽  
Northwest China ◽  
Identification Model
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