Diurnal and Seasonal Variations of Dust Transport around the Tibetan Plateau: Insights from Multi-Source Observations

Xu, Xiaofeng; Xiong, Zixu; Gong, Jianming; Zhang, Huilin; Zhao, Tianliang; He, Qing

doi:10.5194/egusphere-2025-5081

Preprints

https://doi.org/10.5194/egusphere-2025-5081

Preprints

28 Oct 2025

| 28 Oct 2025

Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Diurnal and Seasonal Variations of Dust Transport around the Tibetan Plateau: Insights from Multi-Source Observations

Xiaofeng Xu, Zixu Xiong, Jianming Gong, Huilin Zhang, Tianliang Zhao, and Qing He

Abstract. Dust transport around the Tibetan Plateau (TP) plays a key role in regional climate and air quality, yet its seasonal and diurnal variability remains insufficiently understood. Here, we presented the spatiotemporal characteristics of dust transport in the TP region combining satellite observations, reanalysis datasets and ground-based measurements. A new method for dust mass concentration was developed and showed strong consistency with multiple products in both spatial and temporal scales. Our results revealed persistent dust transport belts on both the northern and southern sides of TP, with peaks in spring. the amounts of dust flux transported to TP were estimated for different directional sources, seasons and heights. The vertical variation and amount of dust backflow in Taklamakan Desert were analyzed. The diurnal characteristics of vertical resolved dust flux were presented in three-hour interval and four sections around TP. Overall, this study deepened the understanding of the dust climatology over the TP region from a satellite perspective.

Received: 15 Oct 2025 – Discussion started: 28 Oct 2025

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.

Download & links

Xiaofeng Xu, Zixu Xiong, Jianming Gong, Huilin Zhang, Tianliang Zhao, and Qing He

Status: open (until 09 Dec 2025)

Post a comment Subscribe to comment alert

RC1:
'Comment on egusphere-2025-5081', Anonymous Referee #1, 10 Nov 2025 reply
This manuscript aims to quantify the seasonal and diurnal variations of dust transport over and around the Tibetan Plateau (TP) using CATS lidar extinction profiles combined with the DustCOMM dataset and reanalysis winds. Although the topic is interesting and potentially valuable for understanding aerosol–climate interactions, the methodological framework lacks physical robustness and statistical validity, leading to highly uncertain and potentially misleading quantitative results. The paper also suffers from conceptual inconsistencies, incomplete validation, and misinterpretation of several derived parameters. Therefore, I do not recommend publication in its current form.
Major Comments
The extinction-to-mass conversion is on shaky ground. You’re dividing CATS extinction by a fixed DustCOMM MEE that’s climatological, largely dry, and wavelength/size-agnostic, while the actual extinction depends strongly on size distribution, mineralogy, refractive index, and RH. With regional dust heterogeneity across Tarim/Qaidam and potential 1064 532 nm inconsistencies, this shortcut can introduce order-of-magnitude bias unless you regionalize MEE and propagate its uncertainty.

The reconstruction of a 3-hour diurnal cycle from CATS observations is statistically invalid. CATS data cover only a short time period and have uneven local-time sampling. Using a 60-day moving window does not compensate for aliasing or sampling bias. Without showing the local-time coverage distribution and weighting scheme, the derived “typical day” is more likely an artifact of orbital sampling than a real physical signal.

The treatment of the near-surface layer is oversimplified. Assuming a uniformly mixed layer of 0–180 m ignores sharp vertical gradients under stable conditions or during dust storms. This can strongly distort the surface dust concentration and any comparison with ground-based PM10 data. A more realistic boundary-layer height estimates or sensitivity analysis is needed.

The flux integration across regional boundaries is not well justified. The authors multiply a sparsely sampled DMC profile by ERA5 winds and integrate over large sections, implicitly assuming representativeness and mass conservation that are never verified. There are no flux divergence checks or control-volume closure tests, and the temporal normalization (instantaneous, seasonal, or annual) is unclear. The resulting flux magnitudes, comparable to or exceeding full chemistry models, are likely overestimated.

Uncertainty assessment is incomplete. Errors from aerosol typing, wavelength conversion, MEE selection, humidity effects, and wind fields should be propagated through each processing step. Simply reporting correlations of 0.4–0.6 with reanalysis products does not demonstrate accuracy. Confidence intervals or uncertainty ranges for all major quantities are necessary for the results to be credible.

Aerosol classification and cloud filtering are not handled carefully enough. Over complex terrain, small misclassification rates between dust and cloud layers can generate large mass errors after the extinction-to-mass step. Independent validation using AERONET or ground-based lidar data should be provided to quantify such effects.

The wavelength mismatch between CATS extinction (1064 nm) and DustCOMM MEE (532 or 550 nm) is not properly treated. The study seems to apply a simple or fixed conversion without discussing the spectral dependence of MEE or its influence on retrieved mass (Kok et al., 2021; Vaughan et al., 2019; Song et al., 2022). This needs explicit scaling and sensitivity testing to ensure physical consistency.

Deposition processes are oversimplified. Estimating basin-to-basin mass budgets using only dry deposition neglects the role of wet removal, which is significant near the Tibetan Plateau margins (Liu et al., 2023; Qian et al., 2011). The “net export” numbers could therefore be biased. Inclusion of precipitation or wet-deposition parameterizations would improve credibility.

Multiplying column dust mass by population and a temperature factor has no epidemiological validation or defined weighting. Without calibration or comparison to health outcome data, this index serves more as a visualization than a scientific metric.

Similar analyses of dust pathways and seasonal transport over the Tibetan Plateau have already been reported using better constrained observational and modeling frameworks. Given the limitations of the CATS dataset, the “first 3-hour diurnal characterization” is not convincing.

Presentation issues make the analysis harder to evaluate. Units and averaging periods are sometimes missing, and the geographic boundaries of the defined sections are not clearly specified. Several figures appear over-smoothed relative to the data resolution. Adding coordinate definitions, uncertainty shading, and data-density information would help.

Quantitative error metrics such as mean bias, normalized mean bias, or RMSE should be reported, and comparisons should be stratified by season and boundary-layer height. Including at least one well-documented dust event as a case study would make the evaluation more persuasive.

Minor Comments
The description of MEE (Eq. 2–3) lacks proper wavelength dependence and unit consistency.

Figure captions are often incomplete and do not specify averaging periods or units.

The map projections and domain boundaries (S1–S4, X1–X2) are not precisely defined, where is TD, GD, and TH, I cannot find the location.

References to validation datasets (DustCOMM, CHAP, CNEMC) should include temporal overlap periods.

The discussion mixes physical interpretation with socio-political implications, which dilutes the scientific focus.

Some figures (e.g., diurnal cycle composites) are overly smoothed and may give a misleading impression of temporal resolution.

Reference
Liu, W., Zhao, C., Xu, M. et al. Southern Himalayas rainfall as a key driver of interannual variation of pre-monsoon aerosols over the Tibetan Plateau. npj Clim Atmos Sci 6, 57 (2023). https://doi.org/10.1038/s41612-023-00392-5
Qian, Y., Flanner, M. G., Leung, L. R., and Wang, W.: Sensitivity studies on the impacts of Tibetan Plateau snowpack pollution on the Asian hydrological cycle and monsoon climate, Atmos. Chem. Phys., 11, 1929–1948, https://doi.org/10.5194/acp-11-1929-2011, 2011.

Kok, J. F., Adebiyi, A. A., Albani, S., Balkanski, Y., Checa-Garcia, R., Chin, M., Colarco, P. R., Hamilton, D. S., Huang, Y., Ito, A., Klose, M., Leung, D. M., Li, L., Mahowald, N. M., Miller, R. L., Obiso, V., Pérez García-Pando, C., Rocha-Lima, A., Wan, J. S., and Whicker, C. A.: Improved representation of the global dust cycle using observational constraints on dust properties and abundance, Atmos. Chem. Phys., 21, 8127–8167, https://doi.org/10.5194/acp-21-8127-2021, 2021.

Song, Q., Zhang, Z., Yu, H., Kok, J. F., Di Biagio, C., Albani, S., Zheng, J., and Ding, J.: Size-resolved dust direct radiative effect efficiency derived from satellite observations, Atmos. Chem. Phys., 22, 13115–13135, https://doi.org/10.5194/acp-22-13115-2022, 2022.
Vaughan, M., Garnier, A., Josset, D., Avery, M., Lee, K.-P., Liu, Z., Hunt, W., Pelon, J., Hu, Y., Burton, S., Hair, J., Tackett, J. L., Getzewich, B., Kar, J., and Rodier, S.: CALIPSO lidar calibration at 1064 nm: version 4 algorithm, Atmos. Meas. Tech., 12, 51–82, https://doi.org/10.5194/amt-12-51-2019, 2019.

Reply
Citation: https://doi.org/10.5194/egusphere-2025-5081-RC1

Xiaofeng Xu, Zixu Xiong, Jianming Gong, Huilin Zhang, Tianliang Zhao, and Qing He

Viewed

Total article views: 120 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
92	22	6	120	6	5

HTML: 92
PDF: 22
XML: 6
Total: 120
BibTeX: 6
EndNote: 5

Views and downloads (calculated since 28 Oct 2025)

Month	HTML	PDF	XML	Total
Oct 2025	68	17	5	90
Nov 2025	24	5	1	30

Cumulative views and downloads (calculated since 28 Oct 2025)

Month	HTML	PDF	XML	Total
Oct 2025	68	17	5	90
Nov 2025	24	5	1	30

Viewed (geographical distribution)

Total article views: 118 (including HTML, PDF, and XML) Thereof 118 with geography defined and 0 with unknown origin.

Country	#	Views	%

Latest update: 10 Nov 2025

Short summary

Dust has an important impact on the climate in East Asia. This study comprehensively utilized ground-based and satellite observation data to analyze the spatio-temporal variations of dust in the Tibetan Plateau and its surrounding areas, as well as the diurnal variation characteristics of regional dust transport. This study has deepened the understanding of the variation patterns of dust around the Tibetan Plateau.


Total:	0
HTML:	0
PDF:	0
XML:	0