SearcharxivSearch

arXiv · 2106.13336

Persistent chlorophyll maxima in the Eastern Tropical North Pacific

Abstract

This study aims to describe the response of two persistent chlorophyll-a maxima to physical processes affecting the thermocline and nitracline position in the Eastern Tropical North Pacific (ETNP). We focused on Long Rossby Waves given their relevance to the ETNP circulation and its potential as a mechanism introducing nutrients into the euphotic zone. We found the shallower chlorophyll-a maximum in oxygenated waters became more intense when denser waters (more nutrients) moved toward the surface. It suggests that isopycnals and nitracline displacements modify the nutrient supply in the euphotic zone, which produces changes in phytoplankton growth. The suboxic and deeper chlorophyll a maximum showed a strong association with the 26 kg m^{-3} isopycnal being only mechanically displaced, and its chlorophyll-a content does not seem to covary with irradiance or nutrients. The different responses of the chlorophyll-a maxima could be explained if different phytoplankton groups are associated with them. Long Rossby Waves can affect the position of the thermocline, nitracline and isopycnals in an annual cycle, but it seems to be a background signal modulated by higher frequency processes such as mesoscale eddies and other Rossby waves. The co-occurrence of processes can control the nitracline depth, and hence the input of nutrients into the euphotic zone that can cause sporadic enhancements of the chlorophyll-a concentration of one maximum.

Explore related subjects

Keep this discovery

BibTeXRIS

Amaru Márquez-Artavia, Xiomara M. Márquez-Artavia, Juan P. Salazar-Ceciliano, Aurélien Paulmier, Laura Sánchez-Velasco, Emilio Beier. 2021-06-24. Persistent chlorophyll maxima in the Eastern Tropical North Pacific. https://arxiv.org/abs/2106.13336

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Windowed Envelope Statistics for Time-Domain Significant Wave Height Estimation From HF Radar

Significant wave height (SWH) retrieval from high-frequency (HF) radar typically relies on a weak second-order Doppler continuum that is sensitive to noise, interference, and spectral leakage. This letter presents a Windowed Envelope Statistics Estimator (WESE) that operates directly on beam-formed time-domain voltages. A second-order term obtained from a Neumann expansion of the rough-surface field equation motivates quadratic compensation of localized radar features. WESE extracts the mean, standard deviation, or variance from overlapping windows of the in-phase, quadrature, or envelope-magnitude sequence, followed by quadratic compensation, rank ordering, least-squares regression, and causal smoothing. Evaluation used 335 synchronized hourly observations from a 13.385 MHz, 12-element WERA system at Argentia, Newfoundland and Labrador. The optimal configuration used quadrature variance, a 16-sample window, 896 retained chronological samples, and 30-h smoothing, achieving an RMSE of 0.152 m and a Pearson correlation of 0.978. This represents RMSE reductions of 32.1% and 18.7% relative to previously reported linear and second-order compensated ordered-statistics models, respectively. The results demonstrate robust time-domain SWH estimation without explicit Doppler-spectrum construction.

physics.ao-ph

KiloDA: Reconstructing kilometer-scale near-surface wind states from sparse station observations

Accurate kilometer-scale near-surface winds are important for understanding atmospheric processes over complex terrain, yet remain difficult to reconstruct from sparse and unevenly distributed observations. Here we introduce KiloDA, a diffusion framework for hourly kilometer-scale wind reconstruction from surface stations. KiloDA learns the statistical distribution and spatial structure of wind fields from historical 3-km Weather Research and Forecasting (WRF) model forecasts. At each reconstruction time, no contemporaneous WRF field is used. Instead, station observations provide the only constraints on the current atmospheric state and guide posterior sampling from the learned prior. In idealized WRF experiments, KiloDA recovers localized wind structures when only 0.24% of grid cells are observed and shows an overall advantage over conventional interpolation across terrain conditions and wind speed regimes. This capability largely transfers to real observations. In a fully withheld region, KiloDA reduces the median wind speed root mean square error (RMSE) by 19% relative to ERA5 reanalysis, using only observations outside the region, with the largest improvements over high-elevation and high-relief terrain. A random station holdout further confirms that this advantage extends across different complex-terrain locations and holdout configurations. These results show that historical model archives can provide useful structural knowledge for reconstructing kilometer-scale wind fields from sparse observations without requiring an accurate model estimate of the current atmospheric state.

physics.ao-ph