The Pacific Decadal Oscillation (PDO), a dominant low-frequency climate mode in the North Pacific, modulates sea surface temperature (SST), circulation dynamics, and wind stress, thereby controlling nutrient supply and phytoplankton primary production (PP) in the sunlit ocean layer. However, the mechanisms linking PDO to PP variability remain insufficiently understood, mainly due to limited long-term observational data sets. Using simulations from the Community Earth System Model Large Ensemble Project (CESM-LE), which includes both historical and RCP8.5 scenarios (1920–2100), this study investigates PDO impacts on PP across the Pacific Ocean. The PP response to the PDO exhibits strong latitudinal variability driven by regional limiting factors. In subarctic regions, PP exhibits a tripolar pattern associated with the PDO and is primarily controlled by nutrient availability, particularly iron and nitrate. In the mid-latitude North Pacific, upper-euphotic PP is positively correlated with PDO, largely regulated by lateral nutrient transport within the mixed layer. In contrast, photosynthetically available radiation (PAR) acts as the dominant linkage between PDO and PP in the lower euphotic zone. The PDO's influence also extends to the tropical Pacific, where its positive phases weaken trade winds and equatorial currents, reducing the zonal nitrate supply and leading to significant PP declines in the western and central tropical Pacific. Together, these results illustrate how the PDO orchestrates marine productivity through distinct regional mechanisms.
{"title":"The Effects of PDO on Phytoplankton Primary Production in the Pacific Ocean","authors":"Ruiying Chen, Shanlin Wang","doi":"10.1029/2025JC022517","DOIUrl":"https://doi.org/10.1029/2025JC022517","url":null,"abstract":"<p>The Pacific Decadal Oscillation (PDO), a dominant low-frequency climate mode in the North Pacific, modulates sea surface temperature (SST), circulation dynamics, and wind stress, thereby controlling nutrient supply and phytoplankton primary production (PP) in the sunlit ocean layer. However, the mechanisms linking PDO to PP variability remain insufficiently understood, mainly due to limited long-term observational data sets. Using simulations from the Community Earth System Model Large Ensemble Project (CESM-LE), which includes both historical and RCP8.5 scenarios (1920–2100), this study investigates PDO impacts on PP across the Pacific Ocean. The PP response to the PDO exhibits strong latitudinal variability driven by regional limiting factors. In subarctic regions, PP exhibits a tripolar pattern associated with the PDO and is primarily controlled by nutrient availability, particularly iron and nitrate. In the mid-latitude North Pacific, upper-euphotic PP is positively correlated with PDO, largely regulated by lateral nutrient transport within the mixed layer. In contrast, photosynthetically available radiation (PAR) acts as the dominant linkage between PDO and PP in the lower euphotic zone. The PDO's influence also extends to the tropical Pacific, where its positive phases weaken trade winds and equatorial currents, reducing the zonal nitrate supply and leading to significant PP declines in the western and central tropical Pacific. Together, these results illustrate how the PDO orchestrates marine productivity through distinct regional mechanisms.</p>","PeriodicalId":54340,"journal":{"name":"Journal of Geophysical Research-Oceans","volume":"130 12","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145887411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thomas Monahan, Tianning Tang, Stephen Roberts, Thomas A. A. Adcock
This study evaluates the response method for predicting tidal currents. We introduce a coupled response model which explicitly accounts for interactions between velocity components. By leveraging non-parametric and data-driven weight estimation, the approach demonstrates superior predictive accuracy compared to classical harmonic analysis (HA), particularly for fast-moving and non-linear tidal currents. Using ADCP data from the world's largest deployment of tidal stream turbines, the coupled model achieves superior accuracy with fewer than 30 days of input measurements compared to HA using over 180 days of data. Accuracy improvements extend to both current predictions and the derived harmonic constituents, obtained through a specialized procedure. The response approach shows greater robustness when applied to extremely sparse data. This is reflected by the pseudo-admittances, which also show the non-parametric approach advanced can effectively capture unsmooth deviations in the admittance. Analysis of 40 active NOAA current stations highlight when the response approach should and should not be used, yielding average reductions in absolute error of 9.6%. The framework offers new opportunities for studying non-tidal forcing and sediment transport and has significant implications for tidal energy site development. The proposed method is implemented in the open-source RTide Python package, providing a practical and accessible tool that reduces the level of expertise required to apply the response method to higher-order nonlinear processes.
{"title":"Response-Based Prediction of Tidal Currents","authors":"Thomas Monahan, Tianning Tang, Stephen Roberts, Thomas A. A. Adcock","doi":"10.1029/2025JC022758","DOIUrl":"https://doi.org/10.1029/2025JC022758","url":null,"abstract":"<p>This study evaluates the response method for predicting tidal currents. We introduce a coupled response model which explicitly accounts for interactions between velocity components. By leveraging non-parametric and data-driven weight estimation, the approach demonstrates superior predictive accuracy compared to classical harmonic analysis (HA), particularly for fast-moving and non-linear tidal currents. Using ADCP data from the world's largest deployment of tidal stream turbines, the coupled model achieves superior accuracy with fewer than 30 days of input measurements compared to HA using over 180 days of data. Accuracy improvements extend to both current predictions and the derived harmonic constituents, obtained through a specialized procedure. The response approach shows greater robustness when applied to extremely sparse data. This is reflected by the pseudo-admittances, which also show the non-parametric approach advanced can effectively capture unsmooth deviations in the admittance. Analysis of 40 active NOAA current stations highlight when the response approach should and should not be used, yielding average reductions in absolute error of 9.6%. The framework offers new opportunities for studying non-tidal forcing and sediment transport and has significant implications for tidal energy site development. The proposed method is implemented in the open-source RTide Python package, providing a practical and accessible tool that reduces the level of expertise required to apply the response method to higher-order nonlinear processes.</p>","PeriodicalId":54340,"journal":{"name":"Journal of Geophysical Research-Oceans","volume":"130 12","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2025JC022758","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145887609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mila Geindre, Damien Sous, Héloïse Michaud, France Floc'h, Xavier Bertin, Aline Aubry, Matthieu Jeanson, Marc Pezerat
Wave frictional dissipation is a key process in rough seabed’s environments such as coral reefs, expected to significantly reduce incoming wave energy. In phase-averaged models, wave dissipation is typically estimated through a wave friction factor