Abstract
The amplitude of the CO2 seasonal cycle at the Mauna Loa Observatory (MLO) increased from the early 1970s to the early 1990s but decreased thereafter despite continued warming over northern continents. Because of its location relative to the large-scale atmospheric circulation, the MLO receives mainly Eurasian air masses in the northern hemisphere (NH) winter but relatively more North American air masses in NH summer. Consistent with this seasonal footprint, our findings indicate that the MLO amplitude registers North American net carbon uptake during the warm season and Eurasian net carbon release as well as anomalies in atmospheric circulation during the cold season. From the early 1970s to the early 1990s, our analysis was consistent with that of Keeling et al. [Keeling CD, Chin JFS, Whorf TP (1996) Nature 382:146–149], suggesting that the increase in the MLO CO2 amplitude is dominated by enhanced photosynthetic drawdown in North America and enhanced respiration in Eurasia. In contrast, the recent decline in the CO2 amplitude is attributed to reductions in carbon sequestration over North America associated with severe droughts from 1998 to 2003 and changes in atmospheric circulation leading to decreased influence of Eurasian air masses. With the return of rains to the U.S. in 2004, both the normalized difference vegetation index and the MLO amplitude sharply increased, suggesting a return of the North American carbon sink to more normal levels. These findings indicate that atmospheric CO2 measurements at remote sites can continue to play an important role in documenting changes in land carbon flux, including those related to widespread drought, which may continue to worsen as a result of global warming.
Keywords: atmospheric circulation, atmospheric CO2 seasonal cycle, terrestrial carbon sinks, continental droughts
The time series of CO2 at Mauna Loa Observatory (MLO) located on the Island of Hawaii is unique not only because of its accuracy and length but also because it was designed and has been repeatedly demonstrated to capture the globally averaged secular trend in atmospheric CO2. The seasonal cycle of atmospheric CO2 at the MLO, with a maximum at the beginning of the growing season (May) and a minimum at the end of the growing season (September/October), records the “breathing” of the northern hemisphere (NH) biosphere, that is, the seasonal asynchrony between photosynthetic drawdown and respiratory release of CO2 by terrestrial ecosystems (e.g., refs. 1–3).
During the course of a year, the MLO experiences marked shifts in large-scale atmospheric circulation. In the NH cold season, air masses from Eurasia dominate transport to the MLO as a result of a deepening of the Aleutian Low and intensified midlatitude westerly flow (4). In the NH warm season, the dominant subtropical North Pacific high-pressure system located to the northeast of the MLO leads to short-range transport of air masses to the MLO that originate over or near the North American continent (4). During this season, the MLO receives an approximately equal mix of air masses from both continents with relatively more North American contributions at the peak of the NH growing season (July/August). The MLO is also located in the vicinity of the subsiding branch of the Hadley circulation, rendering it sensitive to interhemispheric mixing.
Several studies have analyzed variability in the MLO CO2 seasonal cycle to infer the sensitivity of ecosystem dynamics to climate perturbations. The increasing trends in the seasonal amplitude of CO2 at the MLO and Point Barrow, AK, from the early 1970s to the early 1990s are postulated to be evidence of a temperature-related lengthening of the boreal growing season (1). Reports of a greening trend in the satellite-derived normalized difference vegetation index (NDVI) throughout the 1980s at northern high latitudes consistent with springtime warming provided additional support for this hypothesis (5). The warming trend at northern high latitudes stimulated wintertime respiration as well as summertime photosynthesis, with both contributing to the observed CO2 amplitude increases (6). In addition to these temperature-based analyses, positive trends in precipitation from 1950 to 1993 over the continental United States have also contributed to higher rates of carbon sequestration (7), consistent with the CO2 record.
An updated analysis of CO2 and climate time series reveals a different picture for the recent decade. Even with some interannual fluctuations, the trend in the Mauna Loa seasonal amplitude since the early 1990s has been negative despite the continued warming over northern latitudes (Fig. 1). In addition, prolonged and spatially extensive midlatitude continental droughts (8) and declines in plant growth (9) were observed from 1998 to 2003. An analysis of the CO2, NDVI, temperature, and precipitation records averaged for the NH shows that since 1994, NH CO2 uptake in the springtime has been accelerating as a result of warming, whereas net CO2 uptake in the summer is lower than in the previous decade because of droughts (10). Because there are no continental-scale observations of respiration, the respiratory release of CO2 is modeled as a function of ambient temperature, soil moisture, and the amount of refractory carbon in litter and soils. Thus, estimates of the net carbon flux (or carbon source/sink) are model-dependent and only weakly constrain explanations of variability and trends in the CO2 amplitude.
Here we analyze the CO2 record at a single station, the MLO, to focus on interannual and quasidecadal changes in carbon sources/sinks in North America versus those in Eurasia. The analysis takes advantage of the MLO's changing seasonal footprint from relatively more North American contributions during the NH growing season (May to October) to more Eurasian contributions during the NH cold season (November to April). We present evidence that the observed decline in the MLO seasonal amplitude since the early 1990s is indicative of a slowing North American carbon sink in the growing season as well as changing footprints of atmospheric transport in the cold season. To examine these hypotheses, we analyzed spatial and temporal correlation patterns of the MLO seasonal amplitude time series with gridded fields of the satellite NDVI, land surface temperature, and indices that represent drought as well as outputs from a recent integration of an atmospheric transport model.
Results
MLO Amplitude.
An updated record from the MLO indicates that the amplitude of the CO2 seasonal cycle has been declining since the early 1990s at a rate of −0.05 ppm/yr (Fig. 1) despite the continued increasing trend in annual NH land temperatures. The declining trend in the amplitude is statistically significant for the period 1991–2004 (r = 0.48, P < 0.05).
Warm-Season Influence.
Spatial correlations.
A spatial correlation analysis between time series of the MLO amplitude and NH growing-season temperatures for the earlier nonsatellite period 1959–1981 reveals largely positive correlations over western North America (Fig. 2a). There are no significant amplitude–temperature correlations over Eurasia. The amplitude correlation with the 6-month standardized precipitation index (SPI6) averaged over the growing season shows no significant geographically extensive pattern for this earlier period (Fig. 2b). The sign of the amplitude–temperature correlations is such that warmer (cooler) conditions are associated with larger (smaller) amplitudes, consistent with the hypothesis of temperature-related changes in plant activity during the growing season (1).
For the later satellite period 1982–2004, the amplitude–temperature correlations over western North America are opposite in sign to the earlier period; moreover, the region of significant correlation is shifted toward lower latitudes (Fig. 2c). In this period, the temperature correlations are colocated with those of SPI6, with the sign such that warmer and drier conditions correspond to smaller amplitudes (Fig. 2 c and d). Satellite measurements of the NDVI allow direct estimation of photosynthetic activity. The spatial correlations of the MLO amplitude and growing-season NDVI for 1982–2004 identify the midlatitudes in general, and North America in particular, as regions of common variability (Fig. 2e). A comparison with the corresponding growing-season temperature and SPI6 patterns shows that regions that exhibit strong correlations with the MLO amplitude are colocated with those for the NDVI especially over western North American midlatitudes (Fig. 2 c–e). The sign of the correlations is such that greener (browner), wetter (drier), and cooler (warmer) conditions correspond to larger (smaller) amplitudes. Thus, our results show that the MLO amplitude changes since 1982 are also dominated by changes in photosynthesis in North America, but in this period they are dominated by moisture-related variability in photosynthesis.
The regions of influence in North America largely encompass the vast grass- and croplands of the Midwestern United States (11), confirming both their vulnerability to drought stress and potential significance in midlatitude carbon-exchange anomalies (12). At grass sites under severe drought conditions, photosynthesis seems to be more impacted relative to respiration (e.g., ref. 13), leading to reduced net CO2 uptake during the growing season and a smaller amplitude. During 1982–2004, photosynthetic changes over far-eastern Eurasia also seem to have contributed to the MLO amplitude variations, although the region of influence is smaller in area when compared with western North America.
In their pioneering study, Keeling et al. (1) found the strongest relationship between the MLO amplitude and annually averaged NH land temperatures, with the amplitude lagging temperature by 1 and 2 yr. To account for such behavior, we also computed lagged spatial correlations between the MLO amplitude and NH growing-season NDVI, hydrologic parameters, as well as temperature for the two study periods 1959–1981 and 1982–2004. The results indicate that only in the case of temperature and during the early study period 1959–1981 are significant and spatially extensive 1-yr-lagged correlations evident; the sign of these correlations are positive, and their spatial extent spans the mid-to-high latitudes of eastern Eurasia [see supporting information (SI) Text and SI Fig. 6].
Temporal evolution.
To understand the temporal behavior of the MLO amplitude, we computed time series of spatial and growing-season means of the NDVI, hydrologic parameters, and temperature over regions that showed significant correlations with the MLO amplitude (compare with Fig. 2). For the NDVI, SPI6, and Palmer drought-severity index (PDSI), these regions include the vegetated portion of the midlatitudes of western North America and far-eastern Eurasia (Fig. 3 a and b). For temperature, the corresponding spatial correlation patterns are more extensive (compare Fig. 2 and SI Fig. 6); consequently, spatial means are calculated over a larger area encompassing the vegetated mid-to-high latitudes of North America and eastern Eurasia (Fig. 3 c and d).
Over the 46 yr (1959–2004) of observation, growing-season temperatures increased at mean rates of 0.011°C/yr (r = 0.41, P < 0.005) for North America and 0.021°C/yr (r = 0.6, P < 0.001) for eastern Eurasia, although the warming has accelerated markedly since the early 1990s over both continents (Fig. 3 c and d). The summer midlatitude hydrologic regime has different trends between western North America and far-eastern Eurasia, with the SPI6 and PDSI for the period from the early 1960s to the mid-1980s tending toward wetter conditions over western North America (Fig. 3a) but only weakly variable conditions over far-eastern Eurasia (Fig. 3b). In this earlier period, photosynthetic drawdown in North America was likely enhanced and contributed to the observed increase in the MLO amplitude. From the mid-1980s onward, however, the hydrologic cycle over these midlatitude regions has become much more variable; this is particularly evident for North America with two prolonged droughts (1987–1989 and 1998–2003) and an anomalous wet period in the early 1990s (8, 14). During this period, variability in the MLO amplitude followed closely variations in the North American hydrological and NDVI time series (see also below), lending strong support to the notion that also the recent decline in the MLO amplitude since the early 1990s is, in part, a signature of drought-related decreases in growing-season net carbon uptake.
Changing contributions of the various factors inducing variations in the MLO amplitude are seen in their 11-yr moving-window correlations with the MLO amplitude (Fig. 3 Lower). Warm-season temperatures over North America (zero lag) and eastern Eurasia (1-yr lag) show some persistent positive correlation with the MLO amplitude from the beginning of the record until approximately the mid-1970s but little thereafter (Fig. 3 c Lower and d Lower). Moving-window correlations with the North American NDVI and hydrologic time series show that the correlations become significant with the onset of a more rigorous hydrological cycle in the early 1980s (Fig. 3a Lower). For far-eastern Eurasia, on the other hand, the moving correlations between the MLO amplitude and NDVI as well as PDSI approach significance only when the most recent pronounced drought period is enclosed (Fig. 3b Lower). The strong amplitude correlations with both PDSI and NDVI time series for western North America during the drought-prone recent decade underscore the importance of both precipitation (moisture supply) and evapotranspiration (moisture demand) in influencing soil moisture availability, photosynthesis, and carbon uptake.
Cold-Season Influence.
Spatial correlations.
Another possible contributor to changes in the MLO CO2 amplitude is changes in cold-season heterotrophic respiration, which responds principally to temperature and litter variability over several years. Thus, we also computed zero and lagged spatial correlations between the MLO amplitude and NH cold-season temperatures for the two study periods of 1959–1981 and 1982–2004 (see SI Text and SI Fig. 7). The results indicate weak correlations at zero lag over high-latitude North America for 1959–1981 and significant spatially extensive correlations at 1- and 2-yr lags over the mid-to-high latitudes of predominantly eastern Eurasia for both study periods. The sign of these correlations are positive and in the Eurasian case, their spatial extent varies somewhat for the two study periods (see SI Fig. 7).
Temporal evolution.
The amplitude–temperature spatial correlations for the NH warm and cold seasons at zero (North America) and various (Eurasia) lags, if present, encompass similar regions (Fig. 2 and SI Text). Hence, we computed time series of spatial means of cold-season temperature over the same areas as in the warm-season analysis for studying temporal correlations with the MLO amplitude (Fig. 4). In comparison to the trends in warm-season temperatures, cold-season temperatures averaged over vegetated North America and eastern Eurasia have increased more rapidly over the entire study period (1959–2004) at mean rates of 0.033°C/yr (r = 0.54, P < 0.001) and 0.038°C/yr (r = 0.51, P < 0.001), respectively.
Moving-window correlations suggest that there is no evidence of persistent correlations between MLO amplitude and North American cold-season temperatures (Fig. 4a Lower). In contrast, persistent correlations do exist between MLO amplitude and cold-season temperatures averaged over eastern Eurasia, but their temporal evolution is complex (Fig. 4b Lower). Over the entire study period, Eurasian cold-season temperatures and MLO amplitude at zero lag are not significantly correlated, suggesting that temperature variations by themselves do not dominate variations in respiration rates that influence the MLO amplitude. With MLO amplitude at 1-yr lag, a relatively persistent positive correlation is found from the late 1960s to the early 1990s, the time of common upward trends in both of these time series; thereafter, this 1-yr-lagged relationship becomes insignificant. At 2-yr lag, a significant positive correlation is found to emerge in the early 1980s and persists to the end of the record. This correlation is dominated by interannual fluctuations and not by the trends in temperatures (see SI Text and SI Table 1), because the MLO amplitude has declined since the early 1990s, whereas eastern-Eurasian cold-season temperatures have remained relatively flat over this time period (Fig. 4b).
During the first half of the satellite period (1982–1993), the warming trends in eastern-Eurasian cold- and warm-season temperatures (Figs. 3d and 4b) seem to have increased the amount of refractory litter, as suggested by parallel trends in the NDVI (see SI Text and SI Fig. 8), and have enhanced decom-position in subsequent years, contributing to a larger amplitude. In contrast, increasing summer drought stress during the most recent decade (11) seems to have weakened the positive linkage between temperature and NDVI, and the NDVI time series has remained relatively flat (see SI Fig. 8). This diverging behavior suggests that the MLO amplitude decline since the early 1990s is not capturing any trends in cold-season decomposition related to the production of refractory litter.
The complex relationship between Eurasian cold-season temperature and the MLO amplitude illustrates the multifaceted controls on winter decomposition (15). For example, at a black spruce forest in Manitoba, Canada, respiration rates from soil carbon reservoirs were found to be sensitive to the depth and duration of thaw (16). It is possible that a similar freeze–thaw mechanism gained significance at a larger spatial scale in the mid- to late 1980s as a result of the massive mid- to high-latitude winter warming over eastern Eurasia in this time frame (Fig. 4b). Such a mechanism could partially explain the observed changes in the lagged MLO amplitude responses: a lagged response may develop as decomposition of soil carbon pools is initially inhibited with the onset of thawing and saturation of soils but resumes as soils become gradually drier.
Circulation Variability.
The generally stronger correlations between the MLO amplitude and North America growing-season climate and NDVI are consistent with the seasonally varying circulation imprint of the MLO (4). Interannual and interdecadal variability in temperature and hydrology is accompanied by shifts in atmospheric circulation that would alter the trajectories of air masses, and hence CO2 amounts, reaching the MLO.
Results from an integration of an atmospheric transport model forced with constant biospheric and fossil-fuel fluxes but interannually changing winds over the period of 1972–2003 (4) suggest that, in the 1990s, less fossil-fuel CO2 was transported to the MLO during the NH spring (see also Fig. 5). Transport anomalies also seem to have decreased the total (biospheric + fossil fuel) simulated CO2 concentrations at the MLO during this time of the year in the 1990s (4) and, consequently, the simulated amplitude (Fig. 5). Observations of radon-222 at the MLO (17, 18) are consistent with these findings and suggest a reduction in continental (Eurasian-originating) airflow at the beginning of the growing season from the early to the mid-1990s (Fig. 5). Indeed, a decrease in continental airflow toward the MLO in the NH spring would lower the maximum concentrations of the CO2 seasonal cycle and, hence, reduce the amplitude.
Discussion and Summary
The unique location of the MLO in the context of seasonally varying atmospheric circulation allows the separate identification of the variations in North American versus Eurasian carbon sources and sinks. Our analysis of the increasing trend in the MLO amplitude from the early 1970s to the early 1990s extends the analysis of Keeling et al. (1) by attributing the photosynthetic drawdown to North America and enhanced cold-season respiration to Eurasia. The time series of the MLO amplitude beyond the early 1990s shows behavior and controls very different from the earlier two decades. Our analysis suggests that throughout the last two decades, the MLO CO2 seasonal amplitude has recorded a changing North American carbon sink that is dominated by shifts in the North American hydrologic regime rather than by temperature trends. The decline in the MLO amplitude since the early 1990s captures the effects of North American droughts, especially those of 1998–2003, on growing-season carbon uptake on the continent. The amplitude decline is also attributed to reduced cold-season CO2 transport from Eurasia in the early 1990s arising from changes in large-scale atmospheric circulation, especially in the NH spring.
Inversion and ecosystem models have inferred significant and variable Eurasian and North American carbon sinks for the past two decades (e.g., refs. 10, 19, and 20). The analysis of the MLO amplitude variations here supports the inversion result of a stronger North American net carbon uptake during 1991–1995 compared with 1988–1990. The MLO amplitude provides little constraint on the inferred Eurasian carbon sink because the MLO does not capture a strong signature of Eurasian net photosynthesis, given that Eurasian-originating air masses arriving at the MLO dominate in the cold season but not the growing season.
With the return of rains to the US in 2004, the MLO amplitude sharply increased, suggesting a return of the North American carbon sink to more normal levels. The latter emphasizes the exquisite sensitivity of the North American terrestrial carbon sink to changes in the hydrologic regime. This work suggests that time-series measurements of atmospheric CO2 at remote sites can continue to play an important role in documenting changes in land-carbon flux, including those related to widespread drought, which future projections (e.g., refs. 21 and 22) show may continue to worsen as a result of global warming.
Methods
CO2 Data.
For this study, monthly averaged atmospheric CO2 concentrations at the MLO, based on in situ air samples, from 1959 to 2004 were obtained from the Carbon Dioxide Information Analysis Center (23). The only missing 3-month data period from February to April in 1964 was filled by linear interpolation between the January and May concentrations of that year.
NDVI Data.
For global vegetation, we used an improved and extended version of the National Aeronautics and Space Administration Global Inventory Modeling and Mapping Studies monthly NDVI data set at 1° spatial resolution spanning the period 1982–2004 (24, 25). The NDVI is computed as the difference between near-infrared and red reflectance of the land surface, normalized by the sum of the reflectances, and is indicative of photosynthetic activity (26).
Climate Data.
The climate data used in this study include an updated version of the monthly Goddard Institute for Space Studies land temperature data at 2° × 2° spatial resolution (27), as well as the monthly Climate Prediction Center precipitation reconstruction land data at 2.5° × 2.5° spatial resolution (28). To represent anomalies in moisture supply, we computed a SPI (29), defined as the precipitation anomaly over a specified time period leading up to and including the month of interest normalized by its SD. For this study, we computed a 6-month SPI (SPI6) for each month on the basis of the 1959–2004 precipitation record, because the variability in moisture supply at this time scale compares well with variations in seasonal vegetation productivity (30).
In addition to the SPI, we used a monthly PDSI data set at 2.5° × 2.5° spatial resolution (31). The PDSI also incorporates moisture demand via surface temperature, in contrast to the SPI that is based on observed moisture supply alone.
Data Analysis.
To extract the seasonal cycle from the monthly CO2 record, we applied the curve-fitting procedures (the CCGVU software) developed at the National Oceanic and Atmospheric Administration Climate Monitoring and Diagnostics Laboratory (32). A brief description of the procedure and applied parameters can be found in SI Text. For the MLO, all annual maximum concentrations in the seasonal cycle were recorded in the month of May, whereas the minimum concentrations shifted between September and October. The annual MLO amplitude is computed by subtracting the annual minimum from the annual maximum of the seasonal cycle.
The analysis is carried out for the NH warm season (May to October) when photosynthesis exceeds respiration and for the preceding NH cold season (November to April) when heterotrophic respiration dominates the CO2 flux to the atmosphere. In the spatial correlation analysis, the 46-yr study period is separated into two 23-yr episodes, 1959–1981 and 1982–2004, with the satellite NDVI being available only for the latter period.
Supplementary Material
Acknowledgments
This article is dedicated to the memory of Dr. Charles D. Keeling. This study was supported by the National Oceanic and Atmospheric Administration, National Aeronautics and Space Administration Carbon Program Grant NAG5-11200, and National Aeronautics and Space Administration EOS-IDS Grant NAG5-9514.
Abbreviations
- MLO
Mauna Loa Observatory
- NH
northern hemisphere
- NDVI
normalized difference vegetation index
- SPI
standardized precipitation index
- PDSI
Palmer drought-severity index.
Footnotes
The authors declare no conflict of interest.
This article contains supporting information online at www.pnas.org/cgi/content/full/0611224104/DC1.
References
- 1.Keeling CD, Chin JFS, Whorf TP. Nature. 1996;382:146–149. [Google Scholar]
- 2.Fung I, Tucker CJ, Prentice KC. J Geophys Res Atmos. 1987;92:2999–3015. [Google Scholar]
- 3.Randerson JT, Thompson MV, Conway TJ, Fung IY, Field CB. Global Biogeochem Cycles. 1997;11:535–560. [Google Scholar]
- 4.Lintner B, Buermann W, Koven C, Fung I. Y. J Geophys Res Atmos. 2006 doi: 10.1029/2005JD006535. [DOI] [Google Scholar]
- 5.Myneni RB, Keeling CD, Tucker CJ, Asrar G, Nemani RR. Nature. 1997;386:698–702. [Google Scholar]
- 6.Randerson JT, Field CB, Fung IY, Tans PP. Geophys Res Lett. 1999;26:2765–2768. [Google Scholar]
- 7.Nemani R, White M, Thornton P, Nishida K, Reddy S, Jenkins J, Running S. Geophys Res Lett. 2002 doi: 10.1029/2002GL014867. [DOI] [Google Scholar]
- 8.Hoerling M, Kumar A. Science. 2003;299:691–694. doi: 10.1126/science.1079053. [DOI] [PubMed] [Google Scholar]
- 9.Lotsch A, Friedl MA, Anderson BT, Tucker CJ. Geophys Res Lett. 2005 doi: 10.1029/2004GL022043. [DOI] [Google Scholar]
- 10.Angert A, Tucker CJ, Biraud S, Bonfils C, Henning CC, Buermann W, Fung I. Proc Natl Acad Sci USA. 2005;102:10823–10827. doi: 10.1073/pnas.0501647102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Friedl MA, McIver DK, Hodges JCF, Zhang XY, Muchoney D, Strahler AH, Woodcock CE, Gopal S, Schneider A, Cooper A, et al. Rem Sens Environ. 2002;83:287–302. [Google Scholar]
- 12.Novick KA, Stoy PC, Katul GG, Ellsworth DS, Siqueira MBS, Juang J, Oren R. Oecologia. 2004;138:259–274. doi: 10.1007/s00442-003-1388-z. [DOI] [PubMed] [Google Scholar]
- 13.Meyers TP. Agric For Meteorol. 2001;106:205–214. [Google Scholar]
- 14.Dai A, Trenberth KE, Karl TR. Geophys Res Lett. 1998;25:3367–3370. [Google Scholar]
- 15.Monson RK, Burns SP, Williams MW, Delany AC, Weintraub M, Lipson DA. Global Biogeochem Cycles. 2006 doi: 10.1029/2005GB002684. [DOI] [Google Scholar]
- 16.Goulden ML, Wofsy SC, Harden JW, Trumbore SE, Crill PM, Gower ST, Fries T, Daube BC, Fan SM, Sutton DJ, et al. Science. 1998;279:214–217. doi: 10.1126/science.279.5348.214. [DOI] [PubMed] [Google Scholar]
- 17.Hutter AR, Larsen RJ, Maring H, Merrill JT. J Radioanal Nucl Chem. 1995;193:309–318. [Google Scholar]
- 18.Whittlestone S, Zahorowski W. J Geophys Res Atmos. 1998;103:16743–16751. [Google Scholar]
- 19.Bousquet P, Peylin P, Ciais P, Le Quere C, Friedlingstein P, Tans PP. Science. 2000;290:1342–1346. doi: 10.1126/science.290.5495.1342. [DOI] [PubMed] [Google Scholar]
- 20.Roedenbeck C, Houweling S, Gloor M, Heimann M. Atmos Chem Phys. 2003;3:1919–1964. [Google Scholar]
- 21.Trenberth KE, Dai A, Rasmussen RM, Parsons DB. Bull Am Meteorol Soc. 2003;84:1205–1217. [Google Scholar]
- 22.Fung I, Doney SC, Lindsay K, John J. Proc Natl Acad Sci USA. 2005;102:11201–11206. doi: 10.1073/pnas.0504949102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Keeling CD, Whorf TP Carbon Dioxide Information Analysis Center, editor. A Compendium of Data on Global Change. Oak Ridge, TN: Oak Ridge National Laboratory; 2004. [Google Scholar]
- 24.Tucker CJ, Pinzon JE, Brown ME, Slayback D, Pak EW, Mahoney R, Vermote E, Saleous NE. Int J Remote Sens. 2005;26:4485–4498. [Google Scholar]
- 25.Pinzon J, Brown ME, Tucker CJ. In: Hilbert-Huang Transform: Introduction and Applications. Huang NE, Shen SS, editors. Singapore: World Scientific; 2005. pp. 167–186. [Google Scholar]
- 26.Myneni RB, Hall FG, Sellers PJ, Marshak AL. IEEE Trans Geosci Remote Sens. 1995;33:481–486. [Google Scholar]
- 27.Hansen J, Ruedy R, Glascoe J, Sato M. J Geophys Res Atmos. 1999;104:30997–31022. [Google Scholar]
- 28.Chen M, Xie P, Janowiak JE, Arkin PA. J Hydrometeorol. 2002;3:249–266. [Google Scholar]
- 29.McKee TB, Doesken NJ, Kleist J. Proceedings of the 8th Conference on Applied Climatology; Boston: Am Meteorol Soc; 1993. pp. 179–186. [Google Scholar]
- 30.Lotsch A, Friedl MA, Anderson BT, Tucker CJ. Geophys Res Lett. 2003 doi: 10.1029/2003GL017506.34. [DOI] [Google Scholar]
- 31.Dai A, Trenberth KE, Qian T. J Hydrometeorol. 2004;5:1117–1130. [Google Scholar]
- 32.Thoning KW, Tans PP, Komhyr WD. J Geophys Res Atmos. 1989;94:8549–8565. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.