Dataset Information

Global climatological data of ocean thermohaline parameters derived from WOA18.

ABSTRACT: This is a global ocean climatological dataset of 17 thermohaline parameters such as isothermal layer (ITL) depth (h_T), mixed layer (ML) depth (h_D), thermocline gradient (G_T), pycnocline gradient (G_D) determined from temperature (T) and salinity (S) profiles of the National Centers for Environmental Information (NCEI) world ocean atlas 2018 (WOA18) using the double gradient method along with the identity-index (i-index) showing the quality of the determination. With the identified (h_T, h_D) and (G_T, G_D), other parameters such as ITL heat content (H_ITL), mixed layer fresh-water content (F_ML), maximum thermocline gradient (G_Tmax), thermocline depth (h_th), temperature at thermocline depth (T_th), maximum density gradient G_Dmax), pycnocline depth (h_pyc), density at pycnocline depth (ρ_pyc), and (h_T - h_D) (barrier layer if positive or compensated layer if negative). The dataset is located at the NOAA/NCEI website ( https://doi.org/10.25921/j3v2-jy50 ). It provides useful background information for ocean mixed layer dynamics, air-sea interaction, climatological studies. This paper is the only document for the dataset.

SUBMITTER: Chu PC

PROVIDER: S-EPMC10290708 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

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Global climatological data of ocean thermohaline parameters derived from WOA18.

Chu Peter C PC Fan Chenwu C

Scientific data 20230624 1

This is a global ocean climatological dataset of 17 thermohaline parameters such as isothermal layer (ITL) depth (hT), mixed layer (ML) depth (hD), thermocline gradient (GT), pycnocline gradient (GD) determined from temperature (T) and salinity (S) profiles of the National Centers for Environmental Information (NCEI) world ocean atlas 2018 (WOA18) using the double gradient method along with the identity-index (i-index) showing the quality of the determ ...[more]

PMID: 37355660

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Project description:The effect of climatically-driven plant phenology on mammalian reproduction is one key to predicting species-specific demographic responses to climate change. Large ungulates face their greatest energetic demands from the later stages of pregnancy through weaning, and so in seasonal environments parturition dates should match periods of high primary productivity. Interannual variation in weather influences the quality and timing of forage availability, which can influence neonatal survival. Here, we evaluated macro-scale patterns in reproductive performance of a widely distributed ungulate (mule deer, Odocoileus hemionus) across contrasting climatological regimes using satellite-derived indices of primary productivity and plant phenology over eight degrees of latitude (890 km) in the American Southwest. The dataset comprised > 180,000 animal observations taken from 54 populations over eight years (2004-2011). Regionally, both the start and peak of growing season ("Start" and "Peak", respectively) are negatively and significantly correlated with latitude, an unusual pattern stemming from a change in the dominance of spring snowmelt in the north to the influence of the North American Monsoon in the south. Corresponding to the timing and variation in both the Start and Peak, mule deer reproduction was latest, lowest, and most variable at lower latitudes where plant phenology is timed to the onset of monsoonal moisture. Parturition dates closely tracked the growing season across space, lagging behind the Start and preceding the Peak by 27 and 23 days, respectively. Mean juvenile production increased, and variation decreased, with increasing latitude. Temporally, juvenile production was best predicted by primary productivity during summer, which encompassed late pregnancy, parturition, and early lactation. Our findings offer a parsimonious explanation of two key reproductive parameters in ungulate demography, timing of parturition and mean annual production, across latitude and changing climatological regimes. Practically, this demonstrates the potential for broad-scale modeling of couplings between climate, plant phenology, and animal populations using space-borne observations.

Dataset Information

Global climatological data of ocean thermohaline parameters derived from WOA18.

Publications

Global climatological data of ocean thermohaline parameters derived from WOA18.

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