Abstract Nutrient data obtained from field observations have the potential to enhance our understanding of oceanic biogeochemical cycling and productivity changes. In particular, long-term nutrient data can provide valuable information on the links between climate change and biogeochemical changes. However, unlike other observational variables such as sea surface temperature, nutrient data are limited in terms of their broad-scale observations and automated sensor-based measurements. In this study, we analyzed nitrate and phosphate data obtained from coastal regions in Northeast Asia and the northwest Pacific from 1980 to 2019 using the spatiotemporal kriging technique and provide results in a spatiotemporal grid format. The data are availa...
Real-time and near-continuous in-situ measurements can provide new insights into variability and pat...
Dataset: Nutrients and chlorophyllSurface nutrient and chlorophyll analyses were performed on sample...
© 2014. A recurring problem with point based marine observations is how to scale them up to infer lo...
We present the spatial distributions and temporal changes of the long-term variability of surface nu...
Dataset: Water column nutrients - Inside and outside kelpThis dataset includes nitrate and phosphate...
Monthly maps of sea surface nutrient (phosphate, nitrate and silicate) concentrations were produced ...
The tropical Pacific is a region where nutrient delivery, upper ocean dynamics, and global climate v...
This study presents a synthesis of surface water partial pressure of CO2 (pCO2) and nutrient observa...
This atlas consists of a description of data analysis procedures and horizontal maps of climatologic...
Oceanic nutrient cycles are coupled, yet carbon-nitrogen-phosphorus (C:N:P) stoichiometry in marine ...
Monitoring the spatiotemporal variability of nutrient concentrations in shelf seas is important for ...
With the emergence of decadal predictability simulations, research toward forecasting variations of ...
Long-term time series are a fundamental prerequisite to understanding and detecting climate shifts a...
[1] Long-term timeseries of upper ocean salinity and nutrients collected in the Alaskan Gyre along L...
Understanding the influence of anthropogenic forcing on the marine biosphere is a high priority. Cli...
Real-time and near-continuous in-situ measurements can provide new insights into variability and pat...
Dataset: Nutrients and chlorophyllSurface nutrient and chlorophyll analyses were performed on sample...
© 2014. A recurring problem with point based marine observations is how to scale them up to infer lo...
We present the spatial distributions and temporal changes of the long-term variability of surface nu...
Dataset: Water column nutrients - Inside and outside kelpThis dataset includes nitrate and phosphate...
Monthly maps of sea surface nutrient (phosphate, nitrate and silicate) concentrations were produced ...
The tropical Pacific is a region where nutrient delivery, upper ocean dynamics, and global climate v...
This study presents a synthesis of surface water partial pressure of CO2 (pCO2) and nutrient observa...
This atlas consists of a description of data analysis procedures and horizontal maps of climatologic...
Oceanic nutrient cycles are coupled, yet carbon-nitrogen-phosphorus (C:N:P) stoichiometry in marine ...
Monitoring the spatiotemporal variability of nutrient concentrations in shelf seas is important for ...
With the emergence of decadal predictability simulations, research toward forecasting variations of ...
Long-term time series are a fundamental prerequisite to understanding and detecting climate shifts a...
[1] Long-term timeseries of upper ocean salinity and nutrients collected in the Alaskan Gyre along L...
Understanding the influence of anthropogenic forcing on the marine biosphere is a high priority. Cli...
Real-time and near-continuous in-situ measurements can provide new insights into variability and pat...
Dataset: Nutrients and chlorophyllSurface nutrient and chlorophyll analyses were performed on sample...
© 2014. A recurring problem with point based marine observations is how to scale them up to infer lo...