Comment on egusphere-2023-1650 DOI Creative Commons
Yinbao Jin, Yiming Liu, Xiao Lu

et al.

Published: Oct. 13, 2023

Abstract. Despite significant advancements in improving the dataset for biomass burning (BB) emissions over past few decades, uncertainties persist BB aerosol emissions, impeding accurate assessment of simulated optical properties (AOPs) and direct radiative forcing (DRF) during wildfire events global regional models. This study assessed AOPs (including depth (AOD), absorption (AAOD), extinction coefficients (AEC)) DRF using eight independent emission inventories applied to WRF-Chem model period (March 2019) Peninsular Southeast Asia (PSEA), where were Global Fire Emissions Database version 4.1s (GFED), INventory from NCAR 1.5 (FINN1.5), Inventory 2.5 MOS (MODIS fire detections, FINN2.5 MOS), MOSVIS (MODIS+VIIRS MOSVIS), Assimilation System 1.2s (GFAS), Energetics Research 1.0 (FEER), Quick Dataset release 1 (QFED), Integrated Monitoring Modelling Wildland FIRES Project 2.0 (IS4FIRES), respectively. The results show that PSEA region, organic carbon (OC) differ by a factor about 9 (0.295–2.533 Tg/M), with 1.09 ± 0.83 Tg/M coefficient variation (CV) 76 %. High-concentration OC occurred primarily savanna agricultural fires. GFED GFAS are significantly lower than other inventories. VISMOS approximately twice as high those FINN1.5. Sensitivity analysis AOD different datasets indicated FINN scenarios (v1.5 2.5) overestimate compared observation (VIIRS), while underestimate (HAOD, AOD>1) regions range 97–110° E, 15–22.5° N. Among schemes, IS4FIRES FINN1.5 performed better terms simulation consistency bias HAOD region when AERONET sites. AAOD was satellite observations (TROPOMI) data, it found schemes did not perform well AOD. overestimation 2.5), FEER, largest MOSVIS. representing at sites within region. always best correlation observations. AEC all trends consistent CALIPSO vertical direction (0.5 km 4 km), demonstrating efficacy smoke plume rise used simulate heights. However, overestimated AEC, underestimated it. In aerosols exhibited daytime shortwave -32.60±24.50 W/m2 surface, positive (1.70±1.40 W/m2) atmosphere, negative (-30.89±23.6 top atmosphere. Based on analysis, recommended accurately assessing impact air quality climate

Language: Английский

Monitoring and simulation of a 7-day dust episode and associated dust radiative forcing over the Middle East via synergy of satellite observations, reanalysis datasets and regional/numerical models DOI
Kaveh Mohammadpour, Elham Mobarak Hassan, Dimitris G. Kaskaoutis

et al.

Atmospheric Research, Journal Year: 2025, Volume and Issue: unknown, P. 107948 - 107948

Published: Jan. 1, 2025

Language: Английский

Citations

2
Estimating hub-height wind speed based on a machine learning algorithm: implications for wind energy assessment DOI Creative Commons
Boming Liu, Xin Ma, Jianping Guo

et al.

Atmospheric chemistry and physics, Journal Year: 2023, Volume and Issue: 23(5), P. 3181 - 3193

Published: March 10, 2023

Abstract. Accurate estimation of wind speed at turbine hub height is significance for energy assessment and exploitation. Nevertheless, the traditional power law method (PLM) generally estimates hub-height by assuming a constant exponent between surface speed. This inevitably leads to significant uncertainties in estimating profile especially under unstable conditions. To minimize uncertainties, we here use machine learning algorithm known as random forest (RF) estimate heights such 120 m (WS120), 160 (WS160), 200 (WS200). These go beyond mast limit 100–120 m. The radar profiler synoptic observations Qingdao station from May 2018 August 2020 are used key inputs develop RF model. A deep analysis model construction has been performed ensure its applicability. Afterwards, PLM retrieve WS120, WS160, WS200. comparison analyses both models against radiosonde measurements. At m, shows relatively higher correlation coefficient R 0.93 smaller RMSE 1.09 s−1, compared with 0.89 1.50 s−1 PLM. Notably, metrics determine performance decline sharply model, opposed stable variation suggests exhibits advantages over because considers well factors friction heat transfer. diurnal seasonal variations WS200 then analyzed. hourly WS120 large during daytime 09:00 16:00 local solar time (LST) reach peak 14:00 LST. spring winter low summer autumn. WS160 similar those WS120. Finally, investigated absolute percentage error (APE) density different heights. In vertical direction, APE gradually increased increases. Overall, some limitations height. which combines more or auxiliary data, suitable estimation. findings obtained have great implications development utilization industry future.

Language: Английский

Citations

39
Validation, inter-comparison, and usage recommendation of six latest VIIRS and MODIS aerosol products over the ocean and land on the global and regional scales DOI Creative Commons
Xin Su,

Mengdan Cao,

Lunche Wang

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 884, P. 163794 - 163794

Published: April 29, 2023

Language: Английский

Citations

18
Global evaluation of Fengyun-3 MERSI dark target aerosol retrievals over land DOI Creative Commons
Leiku Yang,

Weiqian Ji,

Pei Xin

et al.

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1), P. 1 - 24

Published: April 25, 2024

The Medium Resolution Spectral Image (MERSI) is a MODIS-like sensor aboard Fengyun-3 satellite. first version of MERSI aerosol algorithm has been developed based on MODIS dark target (DT) algorithm, with modified models for estimating surface reflectance and an adjusted inland water masking method to release haze aerosols. This study applies DT the global observations from upgraded (MERSI-II) Fengyun-3D. And then, Aerosol Optical Depth (AOD) results year 2019–2020 are validated against Robotic Network (AERONET) data. In addition, analyses spatial distribution error characteristics MERSI-II retrievals presented. overall validation demonstrates that perform well globally, correlation coefficient 0.877 67.1% matchups within Expected Error envelope ± (0.05 + 0.2τ), which close statistic metrics products. AODs exhibit similar trends dependence. Moreover, two revealed in retrieval performance at site regional scales, as analysis monthly averages. These findings indicate success ported algorithm.

Language: Английский

Citations

5
Towards long-term, high-accuracy, and continuous satellite total and fine-mode aerosol records: Enhanced Land General Aerosol (e-LaGA) retrieval algorithm for VIIRS DOI
Lunche Wang, Xin Su, Yi Wang

et al.

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2024, Volume and Issue: 214, P. 261 - 281

Published: July 1, 2024

Language: Английский

Citations

5
Performance evaluation of MODIS and VIIRS satellite AOD products over the Indian subcontinent DOI Creative Commons
Swagata Payra, Ajay Sharma, Manoj K. Mishra

et al.

Frontiers in Environmental Science, Journal Year: 2023, Volume and Issue: 11

Published: June 6, 2023

In the present study, first systematic performance evaluation of aerosol optical depth (AOD) products retrieved using two satellite sensors i.e., Visible Infrared Imaging Radiometer Suite (VIIRS) and Aqua-Moderate-Resolution Spectroradiometer (MODIS) is carried out over India. We have used ground-based AOD from AERONET at 550 nm wavelength for inter-comparison with MODIS Aqua version C6.1 (C061) Deep Blue (DB) product VIIRS/SNPP collection 1.1 (V1.1) DB time span 7-year (2014–2020) observation periods. For validation, average value pixels falling within box 50 Km x keeping station center retrieved. The daily data sun photometer (2014–2019) were obtained ±15 min overpass time. Statistical parameters like correlation coefficient (R), RMSE, MAE, RMB calculated. uncertainty evaluated an envelope Expected Error (EE = ±0.05 + 0.15 land). analysis shows that outperforms VIIRS-retrieved AOD. both yields a high (0.86—Jaipur, 0.79—Kanpur, 0.84—Gandhi College, 0.74—Pune 0.75—Jaipur, 0.77—Kanpur, 0.49—Gandhi 0.86—Pune VIIRS) low MAE (0.12—Jaipur, 0.20—Kanpur, 0.15—Gandhi 0.09—Pune 0.13—Jaipur, 0.13—Kanpur, 0.26—Gandhi 0.10—Pune VIIRS). Other statistical measures such as RMB, P also suggest similar performance. More than 66% total fall range EE each station. Spatial comparison exhibits same pattern seasonally well annually having minimum bias −0.3 to +0.3 between VIIRS. Slight underestimation overestimation are observed in all stations by MODIS, whereas VIIRS continuously underestimates increase depth, suggesting improvements model surface reflection retrieval. Overall, ground reveals better accuracy datasets

Language: Английский

Citations

11
Research on the distribution and influencing factors of fine mode aerosol optical depth (AODf) in China DOI
Haifeng Xu, Jinji Ma,

Wenhui Luo

et al.

Atmospheric Environment, Journal Year: 2024, Volume and Issue: 334, P. 120721 - 120721

Published: Oct. 1, 2024

Language: Английский

Citations

4
Global estimates of gap-free and fine-scale CO2 concentrations during 2014–2020 from satellite and reanalysis data DOI Creative Commons
Lingfeng Zhang, Tongwen Li, Jingan Wu

et al.

Environment International, Journal Year: 2023, Volume and Issue: 178, P. 108057 - 108057

Published: June 24, 2023

Carbon dioxide (CO2) is a crucial greenhouse gas with substantial effects on climate change. Satellite-based remote sensing commonly used approach to detect CO2 high precision but often suffers from extensive spatial gaps. Thus, the limited availability of data makes global carbon stocktaking challenging. In this paper, gap-free column-averaged dry-air mole fraction (XCO2) dataset resolution 0.1° 2014 2020 generated by deep learning-based multisource fusion, including satellite and reanalyzed XCO2 products, vegetation index data, meteorological data. Results indicate accuracy for 10-fold cross-validation (R2 = 0.959 RMSE 1.068 ppm) ground-based validation 0.964 1.010 ppm). Our has advantages fine compared reanalysis as well that other studies. Based dataset, our analysis reveals interesting findings regarding spatiotemporal pattern over globe national-level growth rates CO2. This fine-scale potential provide support understanding cycle making reduction policy, it can be freely accessed at https://doi.org/10.5281/zenodo.7721945.

Language: Английский

Citations

9
Assessment of the high-resolution estimations of global and diffuse solar radiation using WRF-Solar DOI Creative Commons

Yunbo Lu,

Lunche Wang, Jiaojiao Zhou

et al.

Advances in Climate Change Research, Journal Year: 2023, Volume and Issue: 14(5), P. 720 - 731

Published: Oct. 1, 2023

Compared with physical models, WRF-Solar, as an excellent numerical forecasting model, includes abundant novel cloud and dynamical processes, which enablesenable the high-frequency output of radiation components are urgently needed by solar energy industry. However, popularisation WRF-Solar in a wide range applications, such estimation diffuse radiation, suffers from unpredictable influences aerosol optical property parameters. This study assessed accuracy improved weather prediction (WRF-Solar) model simulating global radiation. Aerosol properties at 550 nm, were provided moderate resolution imaging spectroradiometer, used input to analyse differences accuracies obtained with/without input. The sensitivity zenith angle (SZA) was analysed. results show superiority WRF-Dudhia terms their root mean square error (RMSE) absolute (MAE). coefficients determination between revealed no statistically significant difference, values greater than 0.9 for parent nested domains. In addition, relative RMSE (RRMSE%) reached 46.60%. experiment on negative bias but attained slightly lower higher correlation coefficient WRF-Dudhia. WRF-Solar-simulated under clear sky conditions poorer, RMSE, RRMSE, percentage MAE 181.93 W m−2, 170.52%, 93.04% 138 respectively. Based Himawari-8 data, statistical thickness (COT) cloudy days that overestimated COTs 20. Moreover, when depth or equal 0.8, also difference 58.57 m−2. errors simulations exhibited dependence SZA. dispersion degree deviation increased gradually decrease Thus, serves tool can provide high temporal high-spatial-resolution data photovoltaic power. Studies should explore improvement cumulus parameterisation schemes enhance component conditions.

Language: Английский

Citations

9
Evaluation and analysis of long-term MODIS MAIAC aerosol products in China DOI

Huang Ge,

Xin Su, Lunche Wang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 948, P. 174983 - 174983

Published: July 22, 2024

Language: Английский

Citations

3