This paper describes a soil moisture data set from the 82,000 km2 Murrumbidgee River Catchment in southern New South Wales, Australia. Data have been archived from the Murrumbidgee Soil Moisture Monitoring Network (MSMMN) since its inception in September 2001. The Murrumbidgee Catchment represents a range of conditions typical of much of temperate Australia, with climate ranging from semiarid to humid and land use including dry land and irrigated agriculture, remnant native vegetation, and urban areas. There are a total of 38 soil moisture-monitoring sites across the Murrumbidgee Catchment, with a concentration of sites in three subareas. The data set is composed of 0–5 (or 0–8), 0–30, 30–60, and 60–90 cm average soil moisture, soil temperature, precipitation, and other land surface model forcing at all sites, together with other ancillary data. These data are available on the World Wide Web at http://www.oznet.org.au.
 Soil moisture is a critical state variable controlling key physical processes in numerical weather prediction, climate modeling, agricultural crop growth modeling, and flood forecasting. In mesoscale and atmospheric general circulation models, soil moisture controls the partitioning of the energy budget between latent and sensible heat fluxes at the land surface [Entekhabi et al., 1996]. Furthermore, soil moisture information is used in crop growth models to specify the available water for plant root extraction [Kroes et al., 2000], and determines the nature and extent of runoff generation in flood forecasting [Goodrich et al., 1994].
 While there are now several long-term soil moisture data sets available worldwide [Dorigo et al., 2011], e.g., the global soil moisture data bank [Robock et al., 2000] and the Oklahoma mesonet [Brock et al., 1995], there are very few Australian (or Southern Hemisphere) examples. Of the Australian soil moisture data sets, the Nerrigundah [Walker et al., 2001] and Tarrawarra [Western and Grayson, 1998] data sets are very comprehensive (including soil moisture time series and spatio-temporal maps) but limited in spatial and temporal extent (catchment areas of 0.06 and 0.105 km2, respectively, over 2 yr). The Goulburn River data set [Rüdiger et al., 2007] covers a much longer period (2002–2007), however, it is limited to a catchment area of 6500 km2 and has no sites within a semiarid climate (which constitutes a significant proportion of Australia). This data note describes the 10 yr and ongoing Murrumbidgee Soil Moisture Monitoring Network (MSMMN) data set from the semiarid to humid 82,000 km2 Murrumbidgee River Catchment.
 The MSMMN data set primarily constitutes root zone soil moisture (top 90 cm depth) measured continuously at 38 sites within the 82,000 km2 Murrumbidgee River Catchment. Additionally, soil temperature is measured continuously for various depths at each site, together with precipitation. Land surface model (LSM) forcing data are also available for a large number of sites due to their colocation with Bureau of Meteorology automatic weather stations (AWS). Other data available for a limited number of sites includes soil suction (at 18 sites), soil texture analysis (at 13 sites), and surface fluxes from eddy correlation (at one site for 16 months).
 The first 18 sites of the MSMMN were installed from September to November 2001. Eight of the sites were colocated with AWS, while the remaining 10 sites were grouped in two clusters of 150 km2 (the headwaters of Kyeamba and Adelong Creek Catchments). The MSMMN was augmented 2 yr later with 20 more (second generation) soil moisture monitoring sites that also record soil moisture over the root zone, soil temperature at a single depth, and precipitation. The second generation sites were upgraded in 2006 to include 0–5 cm soil moisture sensors and soil temperature sensors at 2.5 cm. All MSMMN sites are installed as catchment average soil moisture monitoring (CASMM) sites, in accordance with the recommendations of Grayson and Western  (i.e., midslope, in neutrally convergent areas with an aspect close to the catchment average). The second generation sites were installed in two focus areas that complement the first generation sites. The first focus area completes instrumentation of the Kyeamba Creek Catchment (extending to the confluence with the Murrumbidgee River), while the second group of sites in the Yanco region are in a (staggered) grid formation to support the usage of remotely sensed soil moisture data (Figure 1).
 Recently (August 2009), an additional 24 sites were installed in two 100 km2 focus areas near two second generations sites in the Yanco Region. These newer sites measure surface soil moisture (0–5 cm) and soil temperature at three depths (1, 2.5, and 5 cm). These sites have been installed in such a way that they provide validation data at the ∼36, 9, and 3 km scales of the SMAP satellite [Entekhabi et al., 2010].
3. Scientific Importance and Use of Data
 The MSMMN data can be used for various purposes. For example, the forcing and soil moisture data have been used for land surface model validation and development [Richter et al., 2004].
 The MSMMN data is also well suited to studies involving remotely sensed data sets. Using the MSMMN, Ellett et al.  presented a framework to assess the potential of remotely sensed gravity to provide new insight on the hydrology of the Murray Darling Basin. Draper et al.  conducted an evaluation of the AMSR-E satellite soil moisture product. Latent heat flux data from the MSMMN has been used for validation of MODIS-derived evapotranspiration [Guerschman et al., 2009].
 The MSMMN sites and data have also been used as the basis of a number of successful field campaigns aimed at developing soil moisture satellite missions using airborne simulators, including the National Airborne Field Experiment in 2006 [Merlin et al., 2008], and more recently the Australian Airborne Cal/val Experiments for SMOS [Peischl et al., 2012], and the Soil Moisture Active Passive Experiments.
 While the authors continue to utilize and analyze this data set, it is being made available to the general research community so that it may be used to its fullest potential for land surface model evaluation and development and remote sensing studies.
4. Catchment Description
 The 82,000 km2 Murrumbidgee River Catchment is located in southern New South Wales (−34°S to –37°S, 143°E to 150°E). The Murrumbidgee Catchment is part of the Murray Darling Basin (MDB), located in eastern Australia (Figure 1 inset) that provides 35% of Australia's gross value of agricultural production (Australian Bureau of Statistics, Experimental estimates of the gross value of irrigated agricultural production, 2000–01-2008–09 (cat. 4610.0.55.008), 2010, available at http://www.abs.gov.au/AUSSTATS/abs@.nsf/allprimarymainfeatures/1B68337DF0BC480FCA257956000E6DF5). This makes the MDB a critical study area for understanding the effect of climate change, drought recurrence, land surface and atmosphere interactions, and feedbacks. It is also clearly an important place to assess the skill of satellites to remotely sense soil moisture. Finally, the diverse climatic, topographic, and land cover characteristics of the Murrumbidgee Catchment, typical of much of Australia, make it an excellent demonstration test bed for land surface model development.
 The Murrumbidgee Catchment shows significant spatial variability in climate, soil, vegetation, and land use. Elevation varies from 50 m in the west of the catchment to more than 2000 m in the east. Climate variations are primarily associated with elevation, varying from semiarid in the west, where the average annual precipitation is 300 mm, to humid in the east, where average annual precipitation reaches 1900 mm in the Snowy Mountains. The mean annual areal actual evapotranspiration in the Murrumbidgee is roughly equivalent to precipitation in the west but represents only half of the precipitation in the east; maximum mean monthly precipitation occurs in the winter and spring.
 Soils range from sandy to clayey, with the western plains dominated by finer-textured soils and the eastern half of the catchment by predominantly medium- to coarse-textured soils. Land use in the catchment is predominantly agricultural with the exception of steeper parts of the catchment, which are a mixture of native eucalypt forests and exotic forest plantations. Agricultural land use varies greatly in intensity and includes pastoral, more intensive grazing, broad-acre cropping, and intensive agriculture in irrigation areas along the mid lower Murrumbidgee.
 Within the Murrumbidgee River Catchment 31 sites are contained in three focus areas of increasing scale: Adelong Creek Catchment with five sites, Kyeamba Creek Catchment located further west with 13 sites, and the Yanco Region in the western plains with 13 sites (Figure 1). Adelong Creek Catchment is a small catchment (∼145 km2) with steep slopes; land use is for sheep and beef grazing. Kyeamba Creek Catchment is a medium to small catchment (∼600 km2) where the topography is dominated by gentle slopes; land use is predominantly for sheep and beef grazing with some dairy. The Yanco Region is a large flat area (∼2500 km2) with minimal woody vegetation; land use in the west of the region comprises irrigation (the Coleambally irrigation area) with rice and barley as the main rotation crops, while elsewhere land use is dry land cropping (predominantly north) and native pasture (south east). The final seven MSMMN sites are located near regional centers throughout the catchment. Further information is available at http://www.oznet.org.au.
5. Data Summary
 Common to all sites is a tipping bucket rain gauge (Figure 2), three vertically installed Campbell Scientific water content reflectometers that measure soil moisture in the upper 90 cm of the profile (0–30, 30–60, and 60–90 cm), a surface soil moisture probe (0–5 or 0–8 cm), a soil temperature probe at 15 cm depth, and a surface temperature probe (2.5 or 4 cm). Data availability timelines allow a simple visual inspection of data coverage (and gaps) and can be found for each sensor on a site-by-site basis at http://www.oznet.org.au.
 Sample data for the year 2005 are shown in Figure 3, where land surface model (CABLE) predictions are also shown for comparison as an example of one use of the MSMMN data. The good agreement in major seasonal signals confirms the integrity of the field data, despite some systematic differences. The LSM wilting point parameter defines the minimum bound of predicted soil moisture (clearly visible in Figure 3). Furthermore, the model uses a single set of soil parameters for the profile, whereas field data supports two distinctly different soil types. This can be attributed to the systematic bias in deeper soil moisture estimates. The specific heat capacity is an estimated parameter that can possibly explain some differences in soil temperature, particularly the much greater diurnal range in the near surface and the slight phase difference for the deeper soil temperature. Moreover, the phase difference is likely to also be attributable to the single-point measurement while the LSM approximates a layer of soil. The soil suction observations have a clear upper limit, which is an artifact of the field instrument limitations. However, agreement is good when suction is low during wet periods (June to November). To the author's knowledge this is the first time CABLE soil suction has been compared to in-situ field data.
5.1. Soil Moisture
 Soil moisture is sampled every 5 or 60 s then averaged to 30 or 20 min measurements for first and second generations sites, respectively, using three vertically installed 30 cm Campbell Scientific water content reflectometers. The 18 first generation sites use CS615 probes, with an additional CS615 inserted at an angle of ∼15° below the surface to give 0–8 cm soil moisture (Figure 2a). As the CS615 model was discontinued in 2002, the newer CS616 (with a higher observing frequency) was installed at the 20 second generation sites, with a 5 cm long Stevens Hydra Probe vertically inserted at the surface (Figure 2b).
 Permanently installed field time domain reflectometry (TDR) probes have been used (with a portable Trase TDR unit) to verify and refine laboratory-based CS615 [Western et al., 2005] and CS616 calibrations [Yeoh et al., 2008]. The CS615 period is temperature corrected to 25°C [Western and Seyfried, 2005] using temperature sensors installed at the midpoint of each CS615 probe. The calibration approach of Rüdiger et al.  is used for temperature correction and calibration of the CS616 water content reflectometers. The CS616 temperature correction uses temperature probes at 15 cm and parameters based on soil texture. The 0–5 cm Hydra Probe at the second generation sites is calibrated with both laboratory and field gravimetric soil moisture measurements according to the approach of Seyfried et al.  for calibration and that of Merlin et al.  for temperature correction using the temperature probes at 2.5 cm.
 The calibration accuracy of the soil moisture probes ranges from a root-mean-square error (RMSE) of 2.5% v/v for the CS615 to 3.3% v/v for the Hydra Probe (the CS616 accuracy is 3.0% v/v). For comparison, the “universal” TDR calibration used for the field TDR measurements has an RMSE of 1.3% v/v [Topp et al., 1980]. Calibration reports for the CS615 [Western et al., 2005], CS616 [Yeoh et al., 2008], and Hydra Probe [Merlin et al., 2007] that include parameters for each CS615 and CS616 in the MSMMN are available at http://www.oznet.org.au.
 All soil moisture data is 0.1% v/v resolution with a range of 0%–50% v/v at all sites (with the exception of 11 probes). The median root zone (0–90 cm) soil moisture for 2002 or 2004 (first or second generation sites) to 2010 is in the range 11.8%–25.5% v/v for the regional Murrumbidgee sites (M1–M7), 18.6%–33.0% v/v for the Yanco Region sites (Y1–Y13), 10.3%–38.6% v/v for the Kyeamba Creek Catchment sites (K1–K14), and 23.5%–33.6% v/v for the Adelong Creek Catchment sites (A1–A5).
 Annual median root zone (0–90 cm) soil moisture is the lowest for all sites in the period 2006–2009. The highest annual median root zone soil moisture is in 2010 (except for 12 sites). Of note is the anomalously high annual median soil moisture at Y4 during 2004 (43.1% v/v compared to a 2005–2010 median of 23.6% v/v) when the site (located in a rice bay) was flood irrigated.
 The median soil moisture (over 7 yr) is spatially consistent among the Yanco Region sites (22.3%–24.9% v/v excluding four sites). Whereas for the Adelong Creek Catchment sites the annual median soil moisture is temporally consistent over 9 yr (e.g., 24.7%–26.2% v/v at A3 excluding the years 2006 and 2007). For the Kyeamba Creek Catchment sites median soil moisture (over 7–9 yr) increases from the hillslope to the valley sites (e.g., 11.6%–25.8% v/v for K1–K7).
 Cumulative rainfall is recorded every 6 min at the first generation sites at a height of 2 m, with a precision of 0.2 mm (Figure 2a). At the second generation sites precipitation at a height of 50 cm is logged each tip, or each second in periods of high intensity rainfall (Figure 2b). Hydrological Services TB4 0.2 mm tipping bucket rain gauges are used at all of the sites (accurate to 3% at intensities of 25–500 mm h−1). All tipping bucket rain gauge calibrations have been verified with a field calibration device that releases 20 mm of water uniformly over ∼13 min.
5.3. Land Surface Model Forcing Data
 Land surface model forcing data (precipitation, air temperature and pressure, relative humidity, wind speed, downward short- and long wave radiation) are available for all sites at 30 min resolution and are derived primarily from nearby AWS data; details are available at http://www.oznet.org.au. The AWS sites are typically only located near regional centers; consequently, one (regional) forcing data set is available for each of the Yanco, Kyeamba, and Adelong regions with local rainfall provided from the MSMMN site data. Individual forcing data sets are also available for each of M1–M7. The forcing data begins at the start of 2000 (AWS rainfall is used prior to the installation of rain gauges at the MSMMN sites) which allows this year to be used for LSM spin up, and any initialization effects to dissipate before commencement of soil moisture data in late 2001 or early 2004, for first or second generation sites, respectively.
5.4. Other Data
 Soil temperature is logged every 6 min (0.1°C resolution) at 4, 15, 45, and 75 cm depth at the first generation sites (Figure 2a) with a Unidata 6507A thermistor (0.35°C accuracy) and every 20 min at 2.5 and 15 cm depth at the second generation sites (Figure 2b) with a modified Stevens Hydra Probe thermistor (0.6°C accuracy) and Campbell Scientific T107 thermistor (0.4°C accuracy), respectively. Soil temperature data are required for temperature correcting the soil moisture sensors (Campbell Scientific CS615, CS616, and Stevens Hydra Probe). Where soil temperature data is missing it has been estimated from nearby sites for the soil moisture calibration. Thus, all soil moisture estimates in the MSMMN data set have been temperature corrected, but only the observed temperature data has been included in the data set with the missing data flagged accordingly. The soil temperature measurements at the first generation sites are instantaneous, whereas at the second generation sites they are an average over 20 min (of instantaneous values sampled every 60 s).
 Soil suction is measured instantaneously every 30 min at the first generation sites at the same depths as temperature (Figure 1a) with a MEA GBHeavy gypsum block (range 60–600 kPa, resolution 1.5%–4%).
 Soil samples from near the MSMMN sites have been sieved with the material passing 2 mm analyzed with laser diffraction by CSIRO Minerals using a Malvern Mastersizer 2000 (range 0.02 μm – 2 mm). The particle size distribution results are aggregated to classes to give the soil texture for most second generation sites (generally at multiple depths).
 Surface flux data are available at one site (K10) centrally located in the valley of the Kyeamba Catchment. The flux data are logged every 30 min from 1 January 2005 to 2 May 2006 and consist of latent and sensible heat flux measured using a CSAT 3-D sonic anemometer and a Licor 7500 gas analyzer (10 Hz measurements at 3 m); incoming and outgoing long- and shortwave radiation, measured with a CNR1 Kipp and Zonen instrument located 1 m above the ground (sensitivity 8.58 μV/W/m2), soil heat flux measured with two HFT3 plates and TCAV thermocouple temperature probes 8 cm below the surface, and air temperature and relative humidity measured with a HMP45C probe at 2 m. Ancillary data measured at the flux site included barometric pressure at 2 m (accuracy 0.5 mb at 20°C, range 600–1060 mb), and wind speed and direction at 3 m measured with a 03001–5 R.M. Young Wind Sentry (anemometer and vane ranges of 0 to 50 m s−1 and 0 to 355°, respectively).
6. Data Quality
 All data from the soil moisture monitoring sites have been visually inspected to identify errors. This checking includes comparisons between soil layers and with rainfall. In addition, tipping bucket rain gauge data has been checked using double-mass plots of daily accumulations to identify periods of faulty gauge operation. Rain gauge catch rates generally agree within 5%. All detected erroneous data has been removed from the database and flagged as missing. No gap filling of data has been undertaken, with all missing or poor quality data being flagged.
 While these data are generally of high and known quality, there are two known artifacts in the data set:
 Second, first generation sites have rain gauges installed 2 m above ground making them vulnerable to some undercatch due to wind effects. Comparisons with daily data from colocated Bureau of Meteorology rain gauges installed below 1 m (at M1-M7 and Y3) indicate some evidence of an undercatch of 0–0.5 mm for very small (<5 mm) rainfall totals at M2, M3, M4, and M7. There is no discernable difference for larger events.
7. Data Availability
 All data described in this paper are available (in ascii, NetCDF, and spreadsheet formats) via the World Wide Web at http://www.oznet.org.au. The website provides all of the information required for interpretation of these data, along with site photographs, maps, and descriptions. Due acknowledgment in any publication or presentation arising from use of these data is required. Data collection is ongoing as of January 2012 for all sites.
 Many of the sites are located on privately owned land. The authors wish to thank all property owners for ongoing site access and cooperation. Site installation, maintenance, and sensor calibration has been funded by the Cooperative Research Centre for Catchment Hydrology and Australian Research Council (ARC) Discovery Grants DP0343778, DP0557543, and DP0879212. The ARC Network for Earth System Science provided funding to develop a NetCDF version of the data set. A CSIRO-University of Melbourne Collaborative Research Support Scheme Grant supported the flux station maintenance. Installation of recently added surface soil moisture and temperature sites in the Yanco study area were funded by ARC Discovery Grant DP0984586. Field assistance provided by numerous individuals over the past years is gratefully acknowledged, as is direct cash support from University of Melbourne and Monash University.