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Spatial-temporal change of climate in relation to urban fringe development in central Arizona-Phoenix

Publication date: 2002

Author(s):

  • Anthony Brazel, Department of Geography, Arizona State University
  • Brent Hedquist, Department of Geography, Arizona State University

Abstract:

Not many studies have documented climate and air quality changes of settlements at early stages of development. This is because high quality climate and air quality records are deficient for the periods of the early 18th century to mid 20th century when many U.S. cities were formed and grew. Dramatic landscape change induces substantial local climate change during the incipient stage of development. Rapid growth along the urban fringe in Phoenix, coupled with a fine-grained climate monitoring system, provide a unique opportunity to study the climate impacts of urban development as it unfolds.

Generally, heat islands form, particularly at night, in proportion to city population size and morphological characteristics. Drier air is produced by replacement of the countryside's moist landscapes with dry, hot urbanized surfaces. Wind is increased due to turbulence induced by the built-up urban fabric and its morphology; although, depending on spatial densities of buildings on the land, wind may also decrease. Air quality conditions are worsened due to increased city emissions and surface disturbances. Depending on the diversity of microclimates in pre-existing rural landscapes and the land-use mosaic in cities, the introduction of settlements over time and space can increase or decrease the variety of microclimates within and near urban regions. These differences in microclimatic conditions can influence variations in health, ecological, architectural, economic, energy and water resources, and quality-of-life conditions in the city. Therefore, studying microclimatic conditions which change in the urban fringe over time and space is at the core of urban ecological goals as part of LTER aims.

In analyzing Phoenix and Baltimore long-term rural/urban weather and climate stations, Brazel et al. (In progress) have discovered that long-term (i.e., 100 years) temperature changes do not correlate with populations changes in a linear manner, but rather in a third-order nonlinear response fashion. This nonlinear temporal change is consistent with the theories in boundary layer climatology that describe and explain the leading edge transition and energy balance theory. This pattern of urban vs. rural temperature response has been demonstrated in relation to spatial range of city sizes (using population data) for 305 rural vs. urban climate stations in the U.S. Our recent work on the two urban LTER sites has shown that a similar climate response pattern also occurs over time for climate stations that were initially located in rural locations have been overrun bu the urban fringe and subsequent urbanization (e.g., stations in Baltimore, Mesa, Phoenix, and Tempe).

Lack of substantial numbers of weather and climate stations in cities has previously precluded small-scale analyses of geographic variations of urban climate, and the links to land-use change processes. With the advent of automated weather and climate station networks, remote-sensing technology, land-use history, and the focus on urban ecology, researchers can now analyze local climate responses as a function of the details of land-use change.

Therefore, the basic research question of this study is: How does urban climate change over time and space at the place of maximum disturbance on the urban fringe?

Hypotheses

1. Based on the leading edge theory of boundary layer climate change, largest changes should occur during the period of peak development of the land when land is being rapidly transformed from open desert and agriculture to residential, commercial, and industrial uses.

2. One would expect to observe, on average and on a temporal basis (several years), nonlinear temperature and humidity alterations across the station network at varying levels of urban development.

3. Based on past research on urban climate, one would expect to see in areas of the urban fringe, rapid changes in temperature (increases at night particularly), humidity (decreases in areas from agriculture to urban; increases from desert to urban), and wind speed (increases due to urban heating).

4. Changes of the surface climate on the urban fringe are expected to be altered as a function of various energy, moisture, and momentum control parameters, such as albedo, surface moisture, aerodynamic surface roughness, and thermal admittance. These parameters relate directly to population and land-use change (Lougeay et al. 1996).


Keywords:


Temporal Coverage:

2001-08-18 to 2002-05-01

Geographic Coverage:

Geographic Description: southeast Phoenix metropolitan area, cities of Tempe, Chandler, Mesa
Bounding Coordinates:
Longitude:-111.93424 to -111.628721
Latitude:33.401989 to 33.259363

Contact:

Information Manager, Arizona State University, 
Global Institute of Sustainability,POB 875402,TEMPE
 caplter.data@asu.edu

Methods used in producing this dataset: Show


Data Files (8) :

Tabular: 37_mean_savi_1.csv

Description: Mean values for soil adjusted vegestation index

Column Description Type Units
site_id unique identifier used to distinguish sites.
string
radius The radius of the area around the instruments.
integer meter
year The year the data was collected.
integer nominalYear
Pixels number of pixels in circle
integer dimensionless
AREA Area of the circle
float squareMeter
MIN minimum value for SAVI within circle
float dimensionless
MAX maximum value for SAVI within circle
float dimensionless
RANGE range values for SAVI within circle
float dimensionless
MEAN mean value for SAVI within circle
float dimensionless
STD standard deviation for SAVI within circle
float dimensionless
SUM sum of SAVI for all pixels within circle
float dimensionless

Tabular: 37_sites_1.csv

Description: site description for the HOBO station locations

Column Description Type Units
site_id Unique identification used to distinguish sites.
string
description Descriptions of the sites used in this study.
string

Tabular: 37_weatherstaa201_1.csv

Description: weatherstation data at site AA201

Column Description Type Units
id sample Id
integer
site_id Unique identification number
string
Date date the sample was taken
datetime Format: YYYY-MM-DD
time time the sample was taken
datetime Format: HH:MM:SS A/P
Temperature temperature at the time of sampling
float celsius
Dew Point dew point at the time of sampling
float celsius
RH relative humidity
float dimensionless

Tabular: 37_weatherstab201_1.csv

Description: weatherstation data at site AB201

Column Description Type Units
site_id Unique identification used to distinguish sites.
string
id Sequential whole numbers used to identify the data collected from the weather station AB201.
integer
Date Date the data was taken.
datetime Format: YYYY-MM-DD
time Time the reading was taken.
datetime Format: HH:MM:SS A/P
Temperature Temperature at the time the reading was taken.
float celsius
Dew Point The dew point at the time the reading was taken.
float celsius
RH relative humidity
float dimensionless

Tabular: 37_weatherstab221_1.csv

Description: weatherstation data at site AB221

Column Description Type Units
id Sequential unique whole numbers used to identify data taken from weather station AB221
integer
site_id Unique identification used to distinguish sites.
string
Date Date the reading was taken
datetime Format: YYYY-MM-DD
time Time the reading was taken
datetime Format: HH:MM:SS A/P
Temperature Temperature at the time the reading was taken
float celsius
Dew Point Dew point at the time the reading was taken
float celsius
RH relative humidity
float dimensionless

Tabular: 37_weatherstac201_1.csv

Description: weatherstation data at site AC201

Column Description Type Units
id Sequential unique whole numbers used to identify readings taken by the weatherstation AC201
integer
site_id Unique identification used to distinguish sites.
string
Date Date the reading was taken
datetime Format: YYYY-MM-DD
time Time at which the reading was taken
datetime Format: HH:MM:SS A/P
Temperature Temperature at which the reading was taken
float celsius
Dew Point Dew point at which the reading was taken.
float celsius
RH relative humidity in percent
float dimensionless

Tabular: 37_weatherstad211_1.csv

Description: weatherstation data at site AD211

Column Description Type Units
id Sequential unique whole numbers used to identify readings taken by the weather station AC211
integer
site_id Unique identification used to distinguish sites.
string
Date Date the reading was taken.
datetime Format: YYYY-MM-DD
time Time the reading was taken
datetime Format: HH:MM:SS A/P
Temperature Temperature at the time the reading was taken
float celsius
Dew Point Dew point at the time the reading was taken
float celsius
RH relative humidity
float dimensionless

Tabular: 37_weatherstcorbell_1.csv

Description: weatherstation data at site Corbell

Column Description Type Units
id Sequential unique whole numbers used to identify readings taken by the weatherstation at Corbell
integer
site_id Unique identification used to distinguish sites.
string
Date Date the reading was taken
datetime Format: YYYY-MM-DD
time TIme the reading was taken
datetime Format: HH:MM:SS A/P
Temperature Temperature at the time the reading was taken
float celsius
Dew Point Dew point at the time the reading was taken.
float celsius
RH relative humidity
float dimensionless

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