Conference Agenda

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Session Overview
Session
S.4.2: CAL/VAL
Time:
Wednesday, 13/Sept/2023:
11:00am - 12:30pm

Session Chair: Prof. Weiqiang Li
Session Chair: Dr. Cheng Jing
Room: 216 - Continuing Education College (CEC)


59236 - CSES/Swarm Data

59327 - CO2-Measuring Sensors


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Presentations
11:00am - 11:45am
Oral
ID: 105 / S.4.2: 1
Oral Presentation
Calibration and Validation: 59236 - The Cross-Calibration and Validation of CSES/Swarm Magnetic Field and Plasma Data

Progress on the Cross-calibration and Validation of CSES and Swarm Satellite Magnetic Field and Plasma Measurements

Xuhui Shen1, Stolle Claudia4,7, Rui Yan2, Chao Xiong3, YanYan Yang2, Zeren Zhima2, De Santis Angelo5, Piersanti Mirko6, Gianfranco Cianchini5

1National Space Science Center, CAS, China,; 2National Institute of Natural Hazards, MEMC,China,; 3Wuhan University, Wuhan, China; 4German Research Centre for Geosciences,Potsdam, Germany; 5Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy; 6National Institute of Astrophysics-IAPS, Rome, Italy; 7University of Rostock,Kühlungsborn,Germany

This report provides an overview of the recent progress on the cross-calibration and validation of CSES/Swarm satellite magnetic field and plasma measurements.

(1)High precision magnetometer (HPM) has worked successfully more than 5 years to provide continuous magnetic field measurement since the launch of CSES. After rechecking these years data, it is necessary to make an improvement for fluxgate magnetometer (FGM) orthogonal calibration (to estimate offsets, scale values and non-othogonalities) and alignment (to estimate three Euler angles). The following efforts are made to achieve this goal: For orthogonal calibration, we further considered the FGM sensor temperature correction on offsets and scale values to remove the seasonal effect. Based on these results, Euler angles are estimated along with global geomagnetic field modeling and then the latitudinal effect for east component is improved. After considering above improvement, we can prolong the updating period of all calibration parameters from daily to 10 days, without the separation of dayside and nightside data. These algorithms will be helpful to improve HPM routine data processing efficiency and data quality to support more scientific studies.

(2)The first detailed analysis about the spacecraft potential (Vs) variations of Swarm satellites are provided, which are flying at about 400-500 km. Different to previous studies that investigate the extremely charging events, usually with spacecraft potential as negative as -100 V, we focus on the variation of Swarm Vs varying within a few negative volts. The Swarm observations show that the spacecraft at low Earth orbit (LEO) altitudes are charged slightly negative, varying between -7 V and 0 V, and with the majority around -2 V. Interestingly, a second peak of Vs is found at -5.5 V, though the event number is less by an order than the first peak around -2 V. The two groups show different spatial and temporal distributions. For the slighter negative charged group, at low and middle latitudes the Vs shows relatively larger values above the magnetic equator, and with much more negative values on the dayside at low and middle latitudes; at high latitudes, the Vs shows relatively negative values during local summer. For the deeper negative charged group, Vs at equatorial and low latitudes is slightly lower at the SAA region; and at high latitudes, the valid Vs observations appear mainly during local winter. We found for the first group much negative Vs is observed at regions with higher background plasma density, while for the second group much negative Vs is observed at regions with lower background plasma density.

(3) The high-resolution magnetic field measurements from ESA’s Swarm satellite constellation provide a good opportunity for revisiting the mean properties of ionospheric currents. Among the Swarm Level 2 data products, provided by ESA, are field-aligned current (FAC) estimates based on single-spacecraft (single-SC) and dual-spacecraft (dual-SC) solutions. For the more reliable dual-SC approach only magnetic signatures from currents flowing through the integration loop are considered. In the case of single-SC FAC estimates the magnetic effects of all remote current systems contribute also to the results. A direct comparison between the two FAC products at auroral latitudes reveals that the single-SC estimates systematically overestimate the current density of region 2 (R2) FACs (~15%) while underestimates the region 1 (R1) FACs (~10%). The differences between the two FAC products appear closely related to the location and direction of the horizontal polar electrojet (PEJ) at auroral latitudes. A direct comparison of these two current systems suggests an influence of the PEJ induced magnetic field on the solutions from single-SC FACs.

105-Shen-Xuhui-Oral_Cn_version.pdf
105-Shen-Xuhui-Oral_PDF.pdf


11:45am - 12:30pm
Oral
ID: 267 / S.4.2: 2
Oral Presentation
Calibration and Validation: 59327 - Validation of Chinese CO2-Measuring Sensors and European TROPOMI/Sentinel-5 Precursor...

Intercomparison of Methane Products Derived from Satellites and Their Validation

Pucai Wang1, Bart Dils2, Minqiang Zhou1, Qichen Ni1, Ting Wang1, Martine De Mazière2

1Institute of Atmospheric Physics, Chinese Academy of Sciences, China; 2Royal Belgian Institute for Space Aeronomy, Belgium

An IFS125HR has been deployed in Xianghe Integrated Observatory. Long-term operations were carried out for accumulating high quality data, which is significant for validating the satellite greenhouse gases products and for finding the signal of climate change. Methane (CH4) is the second most important greenhouse gas after carbon dioxide. Accurate monitoring and understanding of its spatiotemporal distribution are crucial for effective mitigation strategies. In this study, the spatiotemporal variations of CH4 over China were investigated based on the CH4 products from 4 well-known satellites (GOSAT, TROPOMI, AIRS, and IASI). As we know, the spectrometers on board the 4 satellites are quite different in specifications as well as in the inversion algorithms. GOSAT and TROPOMI CH4 retrieval use shortwave infrared spectra, having a better sensitivity near the surface, while IASI and AIRS CH4 retrieval use thermal infrared spectra, showing a good sensitivity in the mid-upper troposphere. Therefore, GOSAT and TROPOMI observed higher CH4 concentrations in the east and south, and lower concentrations in the west and north, which is highly related to the CH4 emissions. IASI and AIRS show a more uniform CH4 distribution over China, which is dominated by the variation of CH4 at a high altitude. However, a large discrepancy is found among these satellite data. AIRS CH4 mole fraction is systematically lower than the other 3 satellites. Significant differences in seasonal variations of CH4 are observed between IASI and AIRS across several regions in China. The highest concentration of CH4 was observed by AIRS in Inner Mongolia, which is probably due to the dust inferences above the bare soil.

Keywords: CH4, spatiotemporal variation, methane measuring satellites, intercomparison, FTIR

267-Wang-Pucai-Oral_PDF.pdf