Peng Yuan, Kyriakos Balidakis, Jungang Wang, Pengfei Xia, Jian Wang, Mingyuan Zhang, Weiping Jiang, Harald Schuh, Jens Wickert, Zhiguo Deng
Kinematic airborne platforms are becoming increasingly vital for Earth observation. They highlight the critical need for accurate tropospheric delay corrections across varying altitudes, especially as most existing models are limited to Earth's surface. Although analytical functions have been used to model vertical reductions in tropospheric delays, they struggle to capture the intricate vertical variations of atmospheric state. In response, we introduce a novel approach that utilizes deep neural networks (DNN) to reconstruct global three-dimensional zenith hydrostatic delay (ZHD) and zenith wet delays (ZWD) derived from numerical weather models (NWM). Our method reconstructs NWM-derived ZHD and ZWD globally up to 14 km above the Earth's surface, with average precision levels of 0.4 and 0.8 mm, respectively. Compared to the analytical third-order exponential model, the DNN approach demonstrates substantial improvement with global average root-mean-square reductions of 63% for ZHD and 36% for ZWD.
{"title":"Deep Neural Networks for Refining Vertical Modeling of Global Tropospheric Delay","authors":"Peng Yuan, Kyriakos Balidakis, Jungang Wang, Pengfei Xia, Jian Wang, Mingyuan Zhang, Weiping Jiang, Harald Schuh, Jens Wickert, Zhiguo Deng","doi":"10.1029/2024gl111404","DOIUrl":"https://doi.org/10.1029/2024gl111404","url":null,"abstract":"Kinematic airborne platforms are becoming increasingly vital for Earth observation. They highlight the critical need for accurate tropospheric delay corrections across varying altitudes, especially as most existing models are limited to Earth's surface. Although analytical functions have been used to model vertical reductions in tropospheric delays, they struggle to capture the intricate vertical variations of atmospheric state. In response, we introduce a novel approach that utilizes deep neural networks (DNN) to reconstruct global three-dimensional zenith hydrostatic delay (ZHD) and zenith wet delays (ZWD) derived from numerical weather models (NWM). Our method reconstructs NWM-derived ZHD and ZWD globally up to 14 km above the Earth's surface, with average precision levels of 0.4 and 0.8 mm, respectively. Compared to the analytical third-order exponential model, the DNN approach demonstrates substantial improvement with global average root-mean-square reductions of 63% for ZHD and 36% for ZWD.","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"38 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143031324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ruiwen Wang, Hao Wang, Chunlin Zhang, Daocheng Gong, Fangyuan Ma, Congrong He, Duohong Chen, Jin Shen, Yan Zhou, Zoran Ristovski, Shaw Chen Liu, Boguang Wang
A local tropical cyclone (TC) in South China Sea was observed making its first complete landfall on an island. Following the arrival of the TC eye, PM2.5 concentration rose from 4 µg/m³ to 44 µg/m³. Mass reconstruction results reveal that sea salt emerged as the primary source. The similar molar ratios of elements before and after landfall confirm that the source of PM2.5 is associated with the local terrigenous sediment. The ratio of Na+/Cl− in the TC eyewall is approximately 5:1 indicating the existence of chlorine depletion. Meanwhile, the concentration of Cl− and molar ratios like Si/Fe inside the TC eyewall show a rapid increase, and reach a peak in the TC eye, indicating that marine particulate matter invades and presents a treasure-bowl-like stepwise aggregation. Our findings provide statistical and theoretical foundations for understanding extreme air pollution events, offering direct evidence of sea-land transport throughout the entire TC.
{"title":"Treasure Bowl: PM2.5 Aggregation in the Eye of a Tropical Cyclone","authors":"Ruiwen Wang, Hao Wang, Chunlin Zhang, Daocheng Gong, Fangyuan Ma, Congrong He, Duohong Chen, Jin Shen, Yan Zhou, Zoran Ristovski, Shaw Chen Liu, Boguang Wang","doi":"10.1029/2024gl110696","DOIUrl":"https://doi.org/10.1029/2024gl110696","url":null,"abstract":"A local tropical cyclone (TC) in South China Sea was observed making its first complete landfall on an island. Following the arrival of the TC eye, PM<sub>2.5</sub> concentration rose from 4 µg/m³ to 44 µg/m³. Mass reconstruction results reveal that sea salt emerged as the primary source. The similar molar ratios of elements before and after landfall confirm that the source of PM<sub>2.5</sub> is associated with the local terrigenous sediment. The ratio of Na<sup>+</sup>/Cl<sup>−</sup> in the TC eyewall is approximately 5:1 indicating the existence of chlorine depletion. Meanwhile, the concentration of Cl<sup>−</sup> and molar ratios like Si/Fe inside the TC eyewall show a rapid increase, and reach a peak in the TC eye, indicating that marine particulate matter invades and presents a treasure-bowl-like stepwise aggregation. Our findings provide statistical and theoretical foundations for understanding extreme air pollution events, offering direct evidence of sea-land transport throughout the entire TC.","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"49 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143031133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Panditha V. S. L. Gunawardana, Nolan J. T. Pearce, Jay A. Austin, Thomas Hollenhorst, Joel C. Hoffman, Marguerite A. Xenopoulos
Understanding carbon (C) dynamics in large lake ecosystems poses challenges due to their size, causing uncertainty in their contribution to the global C cycle. Here, we used autonomous underwater vehicles to calculate upper mixed-column (UMC) metabolism in Lake Superior. We paired 7 years of high-resolution dissolved oxygen and temperature data from 17 glider missions with in situ meteorological data to calculate daily gross primary production, ecosystem respiration, and net ecosystem metabolism. We found the UMC of Lake Superior to be net heterotrophic (primary production < ecosystem respiration) most of the time, suggesting its role as a net source of CO2 to the atmosphere. Heterotrophy was pronounced during cold and transitional days (<14°C) and in nearshore regions (<10 km distance from the shore). When scaled, our results indicate that Lake Superior released 84–112 Tg CO2 y−1, which is twice the rate of C it fixes from the UMC itself.
{"title":"The Metabolic Balance of Lake Superior's Mixed Layer","authors":"Panditha V. S. L. Gunawardana, Nolan J. T. Pearce, Jay A. Austin, Thomas Hollenhorst, Joel C. Hoffman, Marguerite A. Xenopoulos","doi":"10.1029/2024gl110601","DOIUrl":"https://doi.org/10.1029/2024gl110601","url":null,"abstract":"Understanding carbon (C) dynamics in large lake ecosystems poses challenges due to their size, causing uncertainty in their contribution to the global C cycle. Here, we used autonomous underwater vehicles to calculate upper mixed-column (UMC) metabolism in Lake Superior. We paired 7 years of high-resolution dissolved oxygen and temperature data from 17 glider missions with in situ meteorological data to calculate daily gross primary production, ecosystem respiration, and net ecosystem metabolism. We found the UMC of Lake Superior to be net heterotrophic (primary production < ecosystem respiration) most of the time, suggesting its role as a net source of CO<sub>2</sub> to the atmosphere. Heterotrophy was pronounced during cold and transitional days (<14°C) and in nearshore regions (<10 km distance from the shore). When scaled, our results indicate that Lake Superior released 84–112 Tg CO<sub>2</sub> y<sup>−1</sup>, which is twice the rate of C it fixes from the UMC itself.","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"3 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143031325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The storm-time temperature difference with respect to its quiet-time expectation (ΔT) in the mesosphere and lower thermosphere were studied during the extreme storms on 2024 Mother's Day and 2003 Halloween Day. The storm-time ΔT were determined by performing daily zonal running mean on the temperature profiles in the ascending and descending nodes separately. The storm-time ΔT had peak values of ≥25 K and extended downward to ∼100 km globally. Above 105 km, the global mean ΔT had values of ≥20 K in the early morning and of ≥15 K in the late afternoon during storm-time. At high latitudes, the storm-time ΔT was larger in the late afternoon than in the early morning. This is opposite to that at middle and low latitudes. Adiabatic warming/cooling caused by the heating-induced circulation changes outside of the auroral oval is likely responsible for the local time and latitude dependence of the storm-time ΔT.
{"title":"Mesosphere and Lower Thermosphere Temperature Responses to the May 2024 Mother's Day Storm","authors":"Xiao Liu, Jiyao Xu, Jia Yue, Wenbin Wang, Juliano Moro","doi":"10.1029/2024gl112179","DOIUrl":"https://doi.org/10.1029/2024gl112179","url":null,"abstract":"The storm-time temperature difference with respect to its quiet-time expectation (ΔT) in the mesosphere and lower thermosphere were studied during the extreme storms on 2024 Mother's Day and 2003 Halloween Day. The storm-time ΔT were determined by performing daily zonal running mean on the temperature profiles in the ascending and descending nodes separately. The storm-time ΔT had peak values of ≥25 K and extended downward to ∼100 km globally. Above 105 km, the global mean ΔT had values of ≥20 K in the early morning and of ≥15 K in the late afternoon during storm-time. At high latitudes, the storm-time ΔT was larger in the late afternoon than in the early morning. This is opposite to that at middle and low latitudes. Adiabatic warming/cooling caused by the heating-induced circulation changes outside of the auroral oval is likely responsible for the local time and latitude dependence of the storm-time ΔT.","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"58 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexandre Kling, R. John Wilson, Melinda Kahre, Amanda Brecht, James Murphy
We have executed a series of simulations with the NASA Ames Mars Global Climate Model by systematically increasing horizontal and vertical resolution with the goal of resolving small-scale waves that significantly affect the mean thermal and momentum structure of the atmosphere. Our reference high-resolution simulation is 1/4° horizontal resolution and ∼1.5 km vertical resolution, and we compare results to a low-resolution simulation that is ∼4° in the horizontal and ∼4 km in the vertical. We show that the main biases in the zonal mean temperature and momentum fields between the low- and high-resolution simulations can be alleviated by including parameterized orographic and non-orographic gravity waves at low resolution.
{"title":"Impact of Grid Resolution on Wave-Mean Flow Interactions With High Resolution Mars Global Climate Model Simulations","authors":"Alexandre Kling, R. John Wilson, Melinda Kahre, Amanda Brecht, James Murphy","doi":"10.1029/2024gl112297","DOIUrl":"https://doi.org/10.1029/2024gl112297","url":null,"abstract":"We have executed a series of simulations with the NASA Ames Mars Global Climate Model by systematically increasing horizontal and vertical resolution with the goal of resolving small-scale waves that significantly affect the mean thermal and momentum structure of the atmosphere. Our reference high-resolution simulation is 1/4° horizontal resolution and ∼1.5 km vertical resolution, and we compare results to a low-resolution simulation that is ∼4° in the horizontal and ∼4 km in the vertical. We show that the main biases in the zonal mean temperature and momentum fields between the low- and high-resolution simulations can be alleviated by including parameterized orographic and non-orographic gravity waves at low resolution.","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"120 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diptiranjan Rout, A. Kumar, R. Singh, S. Patra, D. K. Karan, S. Chakraborty, D. Scipion, D. Chakrabarty, Juanita Riccobono
This study uses multiple ground and satellite-based measurements to investigate the extreme ionospheric response to the Mother's Day storm on May 10–11, 2024. Prompt penetration electric field caused a significant enhancement in the ionospheric vertical drift (