Identification

Title

Ensemble gridded (1 km) daily rainfall and temperature for the Hawaiian Islands (1990-2014)

Alternative title(s)

d583154

Abstract

<p>It is a major challenge to develop gridded precipitation and temperature estimates that adequately resolve the extreme spatial gradients present in the Hawaiian Islands. The challenge is particularly pronounced because the available station networks are irregularly spaced and sparse, creating large uncertainties in gridded spatial meteorological estimates. Here we develop a 100- member, daily ensemble of precipitation and temperature estimates over the Hawaiian Islands for the period 1990-2014 at 1 km grid resolution. We first develop an intermediary ensemble estimate of the monthly climatological precipitation and temperature and use the climatological surfaces to inform daily anomaly interpolation. This Climatologically Aided Interpolation (CAI) method extends our initial ensemble system developed for the continental United States (CONUS).</p> <p>For Hawaii, we show that daily interpolation using only daily data is inferior to the CAI methodology, particularly over longer time periods (years to decades). Daily interpolation has more value for short time periods (e.g. 1-month or less) or when the precipitation distribution substantially diverges from climatology. The CAI ensemble is able to reproduce observed precipitation and temperature patterns, including the probability of precipitation. Leave-one-out cross-validation results illustrate that the ensemble has: 1) minimal biases, 2) reasonable mean absolute errors, 3) good representation of daily precipitation intensity variability, and 4) good reliability and discrimination. Additionally, the ensemble is able to reasonably reproduce the tails (e.g. 99.9th percentile) of the daily precipitation and temperature distributions, with increasing uncertainty for higher percentiles.</p>

Resource type

dataset

Resource locator

https://gdex.ucar.edu/datasets/d583154/

protocol: https

name: Dataset Description

description: Related Link

function: information

https://gdex.ucar.edu/datasets/d583154/dataaccess/

protocol: https

name: Data Access

description: Related Link

function: download

Unique resource identifier

code

codeSpace

Dataset language

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

climatologyMeteorologyAtmosphere

Keywords

Keyword set

keyword value

dataset

originating controlled vocabulary

title

Resource Type

reference date

date type

revision

effective date

2021-03-30

Keyword set

keyword value

WEATHER STATIONS > WEATHER STATIONS

originating controlled vocabulary

title

U.S. National Aeronautics and Space Administration Global Change Master Directory

reference date

date type

revision

effective date

2025-10-03

Keyword set

keyword value

EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > MAXIMUM/MINIMUM TEMPERATURE

originating controlled vocabulary

title

U.S. National Aeronautics and Space Administration Global Change Master Directory

reference date

date type

revision

effective date

2025-10-03

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

1900-01-01

End position

2014-12-31

Dataset reference date

date type

publication

effective date

2018-01-01

Frequency of update

notPlanned

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Creative Commons Attribution 4.0 International License

Limitations on public access

None

Responsible organisations

Responsible party

organisation name

email address

datahelp@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

NSF NCAR Geoscience Data Exchange

email address

datahelp@ucar.edu

web address

https://gdex.ucar.edu

name: NSF NCAR Geoscience Data Exchange

description: The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research.

function: download

responsible party role

pointOfContact

Metadata date

2025-10-09T01:45:33Z

Metadata language

eng; USA