個人感興趣的一些氣候類文章 (Feb 2023)
Historical Changes in Wind‐Driven Ocean Circulation Can Accelerate Global Warming - McMonigal - 2023 - Geophysical Research Letters - Wiley Online Library
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2023GL102846?af=R

https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022GL100518?af=R

Remarkable Changes in the Dominant Modes of North Pacific Sea Surface Temperature - Werb - 2023 - Geophysical Research Letters - Wiley Online Library
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022GL101078?af=R

Finding Causal Gateways of Precipitation Over the Contiguous United States - Yang - 2023 - Geophysical Research Letters - Wiley Online Library
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022GL101942?af=R

(這個是地震的,有點好奇Time‐Lapse Full Waveform Inversion怎么實現(xiàn))
Understanding Subsurface Fracture Evolution Dynamics Using Time‐Lapse Full Waveform Inversion of Continuous Active‐Source Seismic Monitoring Data - Liu - 2023 -?
Geophysical Research Letters - Wiley Online Library
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022GL101739?af=R

Rapid 21st Century Weakening of the Agulhas Current in a Warming Climate - Zhang - 2023 - Geophysical Research Letters - Wiley Online Library
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022GL102070?af=R
open research里的鏈接之一,有畫圖數(shù)據(jù)和mitgcm代碼
https://figshare.com/articles/dataset/Data_and_Code_for_Rapid_21st-century_weakening_of_the_Agulhas_Current_in_a_warming_climate_/21802770

Subseasonal Predictability of the July 2021 Extreme Rainfall Event Over Henan China in S2S Operational Models
Journal of Geophysical Research: Atmospheres: Table of Contents
Yuhan Yan, Congwen Zhu, Boqi Liu
Abstract
A record-breaking flooding event occurred in Zhengzhou, Henan Province of China during 17–23 July 2021, causing hundreds of deaths and vast economic losses. Here, we evaluated the predictability of this extreme rainfall event and the impacts of tropical cyclones (TCs) using subseasonal-to-seasonal (S2S) operational models. On the monthly timescale, most models initialized in late June reasonably predicted the wet-in-north and dry-in-south patterns of anomalous rainfall over China in July, accompanied by the well-predicted westward extension of the western North Pacific subtropical high (WNPSH) and eastward stretching of the South Asian High. On the weekly timescale, only four models captured the location, probability, and sudden intensification of the rainfall extremes in advance of 1?week, largely due to their reasonable prediction of WNPSH variability in mid-latitudes. However, the S2S models still underestimated the super extremeness of this event. The prediction discrepancies came from the poor predictability of Typhoon IN-FA and its impact on the daily evolution of the extreme rainfall event, even within a few days forecast lead. Compared with the observation, the prediction bias of tropical disturbance changed the environmental monsoon airflow to induce the earlier warning of rainfall extremes prior to the formation of IN-FA. After the formation of IN-FA, the prediction bias of the typhoon's moving speed distorted the typhoon location, which incorrectly predicted the moisture convergence center and underestimated their remote impacts on this heavy rainfall event.

Reducing the uncertainty in the satellite altimetry estimates of global mean sea level trends using highly stable water vapour climate data records
Journal of Geophysical Research: Oceans: Table of Contents
Anne Barnoud, Bruno Picard, Beno?t Meyssignac, Florence Marti, Micha?l Ablain, Rémy Roca
Abstract
The global mean sea level (GMSL) has risen by 3.3 ± 0.2 mm.yr-1?(68 % confidence level) over 1993-2021. The wet tropospheric correction (WTC) used to compute the altimetry-based mean sea level data is known to be a large source of error in the GMSL long-term stability. The WTC is derived from the microwave radiometers (MWR) on board the altimetry missions. In order to improve the long-term estimates of the GMSL, we propose an alternative WTC computation based on highly stable climate data records (CDRs) of water vapour derived from independent MWR measurements on board meteorological satellites. A polynomial model is applied to convert water vapour to WTC. The CDR-derived WTC enables reducing the low frequency uncertainty of the WTC applied to the altimetry data, hence reducing the uncertainty of the GMSL trend estimate. Furthermore, over 2016-2021, the comparison of MWR-based with CDR-based WTC shows a likely drift of the Jason-3 MWR WTC on the order of -0.5 mm.yr-1?that would lead to an overestimation of the GMSL trend from 2016.

Journal of Physical Oceanography
Three-Dimensional Structure of Subduction/Obduction in the North Pacific Ocean
Ling Ling Liu,?Rui Xin Huang, and Fan Wang
Abstract
A new three-dimensional method is proposed for calculating the annual mean subduction and obduction rate in the ocean and applied to the North Pacific Ocean. Due to the beta spiral, the subducted/obducted water at a given station can spread over/come from a wide range with different densities in the subsurface ocean. This new method can provide the three-dimensional feature of subduction/obduction and more accurate distribution of the annual subduction/obduction rate in density space. The spatial patterns of annual subduction/obduction rate obtained from both the classical and new methods are similar, although at individual stations the rate can be different; however, the new 3D method can greatly improve the density structure of subducted/obducted water mass. In spite of the assumption of idealized fluid in most previous studies, our analysis showed that subducted water masses can change their density due to diapycnal mixing, especially for water masses subducted at relatively shallow depths. In the North Pacific, the subduction process mainly takes place for about 1–2 months in most of the subtropical basin, while the time window for obduction is ~100 days in the major obduction regions. Based on the SODA monthly mean climatology, the subducted/obducted water in the North Pacific is primarily distributed at depths of 80–120 m.
https://doi.org/10.1175/JPO-D-22-0050.1