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Xin Tian

Researcher at Chinese Academy of Sciences

Publications -  12
Citations -  266

Xin Tian is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Soil water & Differential optical absorption spectroscopy. The author has an hindex of 7, co-authored 12 publications receiving 146 citations. Previous affiliations of Xin Tian include Anhui University & Nanjing University of Information Science and Technology.

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Intercomparison of NO2, O4, O3 and HCHO slant column measurements by MAX-DOAS and zenith-sky UV-visible spectrometers during CINDI-2

Karin Kreher, +83 more
TL;DR: The second Cabauw Intercomparison campaign for Nitrogen Dioxide measuring instruments (CINDI-2) as discussed by the authors was held in 2016 and the three major goals of the campaign were (1) characterising and better understanding the differences between a large number of multi-axis differential optical absorption (MAX-DOAS) and zenith-sky DOAS instruments, (2) defining a robust methodology for performance assessment of all participating instruments, and (3) contributing to a harmonisation of the measurement settings and retrieval methods.
Journal ArticleDOI

A joint data assimilation system (Tan-Tracker) to simultaneously estimate surface CO 2 fluxes and 3-D atmospheric CO 2 concentrations from observations

TL;DR: Tan-Tan-Tracker as discussed by the authors is a data assimilation framework based on the PODEn4DVar approach, which includes both the atmospheric CO2 concentrations and the surface CO2 fluxes as part of the large state vector to be simultaneously estimated.
Journal ArticleDOI

Long-term observations of tropospheric NO2, SO2 and HCHO by MAX-DOAS in Yangtze River Delta area, China.

TL;DR: Ground-based multi-axis differential optical absorption spectroscopy network in Eastern China is used to retrieve variations of NO2, SO2, and formaldehyde in the YRD area to explore transport of tropospheric trace gas pollution in YRD.
Journal ArticleDOI

A regional carbon data assimilation system and its preliminary evaluation in East Asia

TL;DR: In this paper, a regional surface CO2 flux inversion system (Carbon Flux Inversion system and Community Multi-scale Air Quality, CFI-CMAQ) has been developed by applying the ensemble Kalman filter (EnKF) to constrain the CO2 concentrations and applying the EnKS to optimize the surface CO 2 fluxes.