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Meteorological Applications
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Spatiotemporal changes in the length and heating degree days of the heating period in Northeast China

Authors: Xiang‐Jin Shen; Bin‐Hui Liu; Dao‐Wei Zhou;

Spatiotemporal changes in the length and heating degree days of the heating period in Northeast China

Abstract

ABSTRACTAs the coolest region in China, Northeast China has long and severe winters and is a main region for the use of central heating. Accurately predicting the heating energy consumption in Northeast China is very important for energy management and planning. Based on daily mean temperature data from 70 weather stations, this study investigated the spatiotemporal changes in the starting date for heating (HS), the end date for heating (HE), and the length (HL) and the heating degree days (HDD) of the heating period in Northeast China. Over Northeast China, regional averaged HS has become later by 0.77 days decade−1 and HE has become earlier by 1.19 days decade−1 during 1960–2011. Accordingly, regional averaged HL and HDD decreased significantly by 1.97 days decade−1 and 66.28 °C decade−1 respectively; this implies a decreasing demand for heating throughout the region. Spatially, the temporal trends of each heating variable varied in different locations. The spatial patterning of the HL trend was unlike that of the HDD trend due to different responses of HL and HDD to climate change. Temperature increase seems to have larger impacts on HL in warm south localities but more obvious effects on HDD in cold north localities of Northeast China. These different sensitivities of HL and HDD to temperature change should be considered when attempts are made to predict heating energy consumption in Northeast China in a changing climate.

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Top 10%
Published in a Diamond OA journal