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Data · dataset · 2024

Meteorological data set of Liangshui ecological Station in Heilongjiang Province in 2022

Listed in ScienceDB

Carefully inspect and analyze the sorted meteorological data, eliminate any abnormal data values, and use linear interpolation to identify and fill in missing data.

Description

At the same time, the organized data is processed, and the monthly average values of atmospheric pressure, atmospheric temperature and humidity, wind speed and direction, soil temperature, etc. are calculated during the annual variation. The maximum and minimum values, as well as the time of occurrence, are recorded, and the cumulative values of total radiation and photosynthetic effective radiation are taken.

Ensure the accuracy and completeness of data to provide scientific data support for national ecological and subsequent meteorological experimental research. 

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.ecodb.0020012 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title