This dataset contains XBT profile data from NOAA Ship Bell M. Shimada in the North Pacific Ocean from 20171012 to 20171025. Office of Marine and Aviation Operations (OMAO) personnel aboard the ship submitted these data and associated metadata to NCEI. In addition, this dataset contains supplementary cruise-level metadata, which OMAO personnel provided in the submission package. These data were collected as part of the Untrawlable Habitat Strategic Initiative, chief scientist Mary Yoklavich, NOAA Southwest Fisheries Science Center.

This dataset includes oceanographic profile temperature, salinity, currents, nutrients, and other measurements collected using bottle, CTD, XBT, and XCTD and processed by Japan Oceanographic Data Center (JODC). These data were measured by a number of Japanese research institutions from Japanese vessels and stations, in seas world-wide, from 1935 to 2021.

This Level 2 Snowfall Rate (SFR) product provides liquid equivalent, instantaneous snowfall rate. SFR is derived from ATMS, AMSU-A, MHS, and GMI observations onboard the S-NPP, NOAA-20, NOAA-21, Metop-B, Metop-C, and GPM satellites. GMI has a resolution of 6 km while the other sensors are 16 km at nadir. SFR observations provide a snow signature through cloud cover that can be used to quantify snowfall intensity and to identify the extent of a snowstorm and the location of the most intense snowfall.

ADRIFT in the California Current uses passive acoustic drifting buoys to study ocean sound in the California Current Ecosystem. These autonomous buoys drift with currents and are tracked via satellite messenger. Data collected through the ADRIFT project will be used to assess noise levels and seasonal marine mammal acoustic presence in the California Current.

Killer whales (Orcinus orca) exhibit significant ecological and genetic diversity, with three primary sympatric ecotypes in the Northeast Pacific: Resident, Bigg’s (Transient), and Offshore. Each ecotype is adapted to distinct ecological niches, with unique foraging strategies, social structures, and vocal behaviors. These differences underscore the challenges in monitoring and conserving each group, as they coexist within overlapping geographic ranges yet do not intermix.

A new sea surface temperature (SST) analysis on a centennial time scale is presented. The dataset starts in 1850 with monthly 1x1 means and is periodically updated. In this analysis, a daily SST field is constructed as a sum of a trend, interannual variations, and daily changes, using in situ SST and sea ice concentration observations. All SST values are accompanied with theory-based analysis errors as a measure of reliability. An improved equation is introduced to represent the ice-SST relationship, which is used to produce SST data from observed sea ice concentrations.

The COBE-SST is a gridded 1x1 resolution SST monitoring dataset. It is used as input for the JMA Climate Data Assimilation System (JCDAS) and the
Japanese 25-year Re-analyses (JRA-25 and JRA-55). It is also used as input for the ensemble prediction systems used in seasonal forecasts. It starts
in 1891 and extends to near present.

<unknown>

<unknown>

The monthly data set consists of two files containing global monthly averaged precipitation rate values at a 2.5x2.5 resolution starting in 1979. Values are obtained from 5 kinds of satellite estimates (GPI,OPI,SSM/I scattering, SSM/I emission and MSU). The enhanced file also includes blended NCEP/NCAR Reanalysis Precipitation values. The other just includes the satellite estimates.
Pentad data is also available.