Benchmarking of automatic quality control checks for ocean temperature profiles and recommendations for optimal sets

Millions of in situ ocean temperature profiles have been collected historically using various instrument types with varying sensor accuracy and then assembled into global databases. These are essential to our current understanding of the changing state of the oceans, sea level, Earth’s climate, marine ecosystems and fisheries, and for constraining model projections of future change that underpin mitigation and adaptation solutions. Profiles distributed shortly after collection are also widely used in operational applications such as real-time monitoring and forecasting of the ocean state and weather prediction. Before use in scientific or societal service applications, quality control (QC) procedures need to be applied to flag and ultimately remove erroneous data. Automatic QC (AQC) checks are vital to the timeliness of operational applications and for reducing the volume of dubious data which later require QC processing by a human for delayed mode applications. Despite the large suite of evolving AQC checks developed by institutions worldwide, the most effective set of AQC checks was not known. We have developed a framework to assess the performance of AQC checks, under the auspices of the International Quality Controlled Ocean Database (IQuOD) project. The IQuOD-AQC framework is an open-source collaborative software infrastructure built in Python (available from https://github.com/IQuOD). Sixty AQC checks have been implemented in this framework. Their performance was benchmarked against three reference datasets which contained a spectrum of instrument types and error modes flagged in their profiles. One of these (a subset of the Quality-controlled Ocean Temperature Archive (QuOTA) dataset that had been manually inspected for quality issues by its creators) was also used to identify optimal sets of AQC checks. Results suggest that the AQC checks are effective for most historical data, but less so in the case of data from Mechanical Bathythermographs (MBTs), and much less effective for Argo data. The optimal AQC sets will be applied to generate quality flags for the next release of the IQuOD dataset. This will further elevate the quality and historical value of millions of temperature profile data which have already been improved by IQuOD intelligent metadata and observational uncertainty information (https://doi.org/10.7289/v51r6nsf)

Autonomous and Lagrangian ocean observations for Atlantic tropical cyclone studies and forecasts

Author Posting. © The Oceanography Society, 2017. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 30, no. 2 (2017): 92–103, doi:10.5670/oceanog.2017.227.The tropical Atlantic basin is one of seven global regions where tropical cyclones (TCs) commonly originate, intensify, and affect highly populated coastal areas. Under appropriate atmospheric conditions, TC intensification can be linked to upper-ocean properties. Errors in Atlantic TC intensification forecasts have not been significantly reduced during the last 25 years. The combined use of in situ and satellite observations, particularly of temperature and salinity ahead of TCs, has the potential to improve the representation of the ocean, more accurately initialize hurricane intensity forecast models, and identify areas where TCs may intensify. However, a sustained in situ ocean observing system in the tropical North Atlantic Ocean and Caribbean Sea dedicated to measuring subsurface temperature, salinity, and density fields in support of TC intensity studies and forecasts has yet to be designed and implemented. Autonomous and Lagrangian platforms and sensors offer cost-effective opportunities to accomplish this objective. Here, we highlight recent efforts to use autonomous platforms and sensors, including surface drifters, profiling floats, underwater gliders, and dropsondes, to better understand air-sea processes during high-wind events, particularly those geared toward improving hurricane intensity forecasts. Real-time data availability is key for assimilation into numerical weather forecast models.The NOAA/AOML component of this work was originally funded by the Disaster Relief Appropriations Act of 2013, also known as the Sandy Supplemental, and is currently funded through NOAA research grant NA14OAR4830103 by AOML and CARICOOS, as well as NOAA’s Integrated Ocean Observing System (IOOS). The TEMPESTS component of this work is supported by NOAA through the Cooperative Institute for the North Atlantic Region (NA13OAR4830233) with additional analysis support from the WHOI Summer Student Fellowship Program, Nortek Student Equipment Grant, and the Rutgers University Teledyne Webb Graduate Student Fellowship Program. The drifter component of this work is funded through NOAA grant NA15OAR4320071(11.432) in support of the Global Drifter Program

More than 50 years of successful continuous temperature section measurements by the global expendable bathythermograph network, its integrability, societal benefits, and future

The first eXpendable BathyThermographs (XBTs) were deployed in the 1960s in the North Atlantic Ocean. In 1967 XBTs were deployed in operational mode to provide a continuous record of temperature profile data along repeated transects, now known as the Global XBT Network. The current network is designed to monitor ocean circulation and boundary current variability, basin-wide and trans-basin ocean heat transport, and global and regional heat content. The ability of the XBT Network to systematically map the upper ocean thermal field in multiple basins with repeated trans-basin sections at eddy-resolving scales remains unmatched today and cannot be reproduced at present by any other observing platform. Some repeated XBT transects have now been continuously occupied for more than 30 years, providing an unprecedented long-term climate record of temperature, and geostrophic velocity profiles that are used to understand variability in ocean heat content (OHC), sea level change, and meridional ocean heat transport. Here, we present key scientific advances in understanding the changing ocean and climate system supported by XBT observations. Improvement in XBT data quality and its impact on computations, particularly of OHC, are presented. Technology development for probes, launchers, and transmission techniques are also discussed. Finally, we offer new perspectives for the future of the Global XBT Network

XBT Science: Assessment of Instrumental Biases and Errors

Expendable bathythermograph (XBT) data were the major component of the ocean temperature profile observations from the late 1960s through the early 2000s, and XBTs still continue to provide critical data to monitor surface and subsurface currents, meridional heat transport, and ocean heat content. Systematic errors have been identified in the XBT data, some of which originate from computing the depth in the profile using a theoretically and experimentally derived fall-rate equation (FRE). After in-depth studies of these biases and discussions held in several workshops dedicated to discussing XBT biases, the XBT science community met at the Fourth XBT Science Workshop and concluded that XBT biases consist of 1) errors in depth values due to the inadequacy of the probe motion description done by standard FRE and 2) independent pure temperature biases. The depth error and temperature bias are temperature dependent and may depend on the data acquisition and recording system. In addition, the depth bias also includes an offset term. Some biases affecting the XBT-derived temperature profiles vary with manufacturer/probe type and have been shown to be time dependent. Best practices for historical XBT data corrections, recommendations for future collection of metadata to accompany XBT data, impact of XBT biases on scientific applications, and challenges encountered are presented in this manuscript. Analysis of XBT data shows that, despite the existence of these biases, historical XBT data without bias corrections are still suitable for many scientific applications, and that bias-corrected data can be used for climate research

Ocean observations in support of studies and forecasts of tropical and extratropical cyclones

© The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Domingues, R., Kuwano-Yoshida, A., Chardon-Maldonado, P., Todd, R. E., Halliwell, G., Kim, H., Lin, I., Sato, K., Narazaki, T., Shay, L. K., Miles, T., Glenn, S., Zhang, J. A., Jayne, S. R., Centurioni, L., Le Henaff, M., Foltz, G. R., Bringas, F., Ali, M. M., DiMarco, S. F., Hosoda, S., Fukuoka, T., LaCour, B., Mehra, A., Sanabia, E. R., Gyakum, J. R., Dong, J., Knaff, J. A., & Goni, G. Ocean observations in support of studies and forecasts of tropical and extratropical cyclones. Frontiers in Marine Science, 6, (2019): 446, doi:10.3389/fmars.2019.00446.Over the past decade, measurements from the climate-oriented ocean observing system have been key to advancing the understanding of extreme weather events that originate and intensify over the ocean, such as tropical cyclones (TCs) and extratropical bomb cyclones (ECs). In order to foster further advancements to predict and better understand these extreme weather events, a need for a dedicated observing system component specifically to support studies and forecasts of TCs and ECs has been identified, but such a system has not yet been implemented. New technologies, pilot networks, targeted deployments of instruments, and state-of-the art coupled numerical models have enabled advances in research and forecast capabilities and illustrate a potential framework for future development. Here, applications and key results made possible by the different ocean observing efforts in support of studies and forecasts of TCs and ECs, as well as recent advances in observing technologies and strategies are reviewed. Then a vision and specific recommendations for the next decade are discussed.This study was supported by the National Oceanic and Atmospheric Administration and JSPS KAKENHI (Grant Numbers: JP17K19093, JP16K12591, and JP16H01846)

State of the climate in 2018

In 2018, the dominant greenhouse gases released into Earth’s atmosphere—carbon dioxide, methane, and nitrous oxide—continued their increase. The annual global average carbon dioxide concentration at Earth’s surface was 407.4 ± 0.1 ppm, the highest in the modern instrumental record and in ice core records dating back 800 000 years. Combined, greenhouse gases and several halogenated gases contribute just over 3 W m−2 to radiative forcing and represent a nearly 43% increase since 1990. Carbon dioxide is responsible for about 65% of this radiative forcing. With a weak La Niña in early 2018 transitioning to a weak El Niño by the year’s end, the global surface (land and ocean) temperature was the fourth highest on record, with only 2015 through 2017 being warmer. Several European countries reported record high annual temperatures. There were also more high, and fewer low, temperature extremes than in nearly all of the 68-year extremes record. Madagascar recorded a record daily temperature of 40.5°C in Morondava in March, while South Korea set its record high of 41.0°C in August in Hongcheon. Nawabshah, Pakistan, recorded its highest temperature of 50.2°C, which may be a new daily world record for April. Globally, the annual lower troposphere temperature was third to seventh highest, depending on the dataset analyzed. The lower stratospheric temperature was approximately fifth lowest. The 2018 Arctic land surface temperature was 1.2°C above the 1981–2010 average, tying for third highest in the 118-year record, following 2016 and 2017. June’s Arctic snow cover extent was almost half of what it was 35 years ago. Across Greenland, however, regional summer temperatures were generally below or near average. Additionally, a satellite survey of 47 glaciers in Greenland indicated a net increase in area for the first time since records began in 1999. Increasing permafrost temperatures were reported at most observation sites in the Arctic, with the overall increase of 0.1°–0.2°C between 2017 and 2018 being comparable to the highest rate of warming ever observed in the region. On 17 March, Arctic sea ice extent marked the second smallest annual maximum in the 38-year record, larger than only 2017. The minimum extent in 2018 was reached on 19 September and again on 23 September, tying 2008 and 2010 for the sixth lowest extent on record. The 23 September date tied 1997 as the latest sea ice minimum date on record. First-year ice now dominates the ice cover, comprising 77% of the March 2018 ice pack compared to 55% during the 1980s. Because thinner, younger ice is more vulnerable to melting out in summer, this shift in sea ice age has contributed to the decreasing trend in minimum ice extent. Regionally, Bering Sea ice extent was at record lows for almost the entire 2017/18 ice season. For the Antarctic continent as a whole, 2018 was warmer than average. On the highest points of the Antarctic Plateau, the automatic weather station Relay (74°S) broke or tied six monthly temperature records throughout the year, with August breaking its record by nearly 8°C. However, cool conditions in the western Bellingshausen Sea and Amundsen Sea sector contributed to a low melt season overall for 2017/18. High SSTs contributed to low summer sea ice extent in the Ross and Weddell Seas in 2018, underpinning the second lowest Antarctic summer minimum sea ice extent on record. Despite conducive conditions for its formation, the ozone hole at its maximum extent in September was near the 2000–18 mean, likely due to an ongoing slow decline in stratospheric chlorine monoxide concentration. Across the oceans, globally averaged SST decreased slightly since the record El Niño year of 2016 but was still far above the climatological mean. On average, SST is increasing at a rate of 0.10° ± 0.01°C decade−1 since 1950. The warming appeared largest in the tropical Indian Ocean and smallest in the North Pacific. The deeper ocean continues to warm year after year. For the seventh consecutive year, global annual mean sea level became the highest in the 26-year record, rising to 81 mm above the 1993 average. As anticipated in a warming climate, the hydrological cycle over the ocean is accelerating: dry regions are becoming drier and wet regions rainier. Closer to the equator, 95 named tropical storms were observed during 2018, well above the 1981–2010 average of 82. Eleven tropical cyclones reached Saffir–Simpson scale Category 5 intensity. North Atlantic Major Hurricane Michael’s landfall intensity of 140 kt was the fourth strongest for any continental U.S. hurricane landfall in the 168-year record. Michael caused more than 30 fatalities and $25 billion (U.S. dollars) in damages. In the western North Pacific, Super Typhoon Mangkhut led to 160 fatalities and$6 billion (U.S. dollars) in damages across the Philippines, Hong Kong, Macau, mainland China, Guam, and the Northern Mariana Islands. Tropical Storm Son-Tinh was responsible for 170 fatalities in Vietnam and Laos. Nearly all the islands of Micronesia experienced at least moderate impacts from various tropical cyclones. Across land, many areas around the globe received copious precipitation, notable at different time scales. Rodrigues and Réunion Island near southern Africa each reported their third wettest year on record. In Hawaii, 1262 mm precipitation at Waipā Gardens (Kauai) on 14–15 April set a new U.S. record for 24-h precipitation. In Brazil, the city of Belo Horizonte received nearly 75 mm of rain in just 20 minutes, nearly half its monthly average. Globally, fire activity during 2018 was the lowest since the start of the record in 1997, with a combined burned area of about 500 million hectares. This reinforced the long-term downward trend in fire emissions driven by changes in land use in frequently burning savannas. However, wildfires burned 3.5 million hectares across the United States, well above the 2000–10 average of 2.7 million hectares. Combined, U.S. wildfire damages for the 2017 and 2018 wildfire seasons exceeded $40 billion (U.S. dollars)

Global Oceans, BAMS State of the Climate in 2021, Chapter 3

Patterns of variability in ocean properties are often closely related to large-scale climate pattern indices, and 2021 is no exception. The year 2021 started and ended with La Niña conditions, charmingly dubbed a “double-dip” La Niña. Hence, stronger-than-normal easterly trade winds in the tropical south Pacific drove westward surface current anomalies in the equatorial Pacific; reduced sea surface temperature (SST) and upper ocean heat content in the eastern tropical Pacific; increased sea level, upper ocean heat content, and salinity in the western tropical Pacific; resulted in a rim of anomalously high chlorophyll-a (Chla) on the poleward and westward edges of the anomalously cold SST wedge in the eastern equatorial Pacific; and increased precipitation over the Maritime Continent. The Pacific decadal oscillation remained strongly in a negative phase in 2021, with negative SST and upper ocean heat content anomalies around the eastern and equatorial edges of the North Pacific and positive anomalies in the center associated with low Chla anomalies. The South Pacific exhibited similar patterns. Fresh anomalies in the northeastern Pacific shifted towards the west coast of North America. The Indian Ocean dipole (IOD) was weakly negative in 2021, with small positive SST anomalies in the east and nearly-average anomalies in the west. Nonetheless, upper ocean heat content was anomalously high in the west and lower in the east, with anomalously high freshwater flux and low sea surface salinities (SSS) in the east, and the opposite pattern in the west, as might be expected during a negative phase of that climate index. In the Atlantic, the only substantial cold anomaly in SST and upper ocean heat content persisted east of Greenland in 2021, where SSS was also low, all despite the weak winds and strong surface heat flux anomalies into the ocean expected during a negative phase of the North Atlantic Oscillation. These anomalies held throughout much of 2021. An Atlantic and Benguela Niño were both evident, with above-average SST anomalies in the eastern equatorial Atlantic and the west coast of southern Africa. Over much of the rest of the Atlantic, SSTs, upper ocean heat content, and sea level anomalies were above average. Anthropogenic climate change involves long-term trends, as this year’s chapter sidebars emphasize. The sidebars relate some of the latest IPCC ocean-related assessments (including carbon, the section on which is taking a hiatus from our report this year). This chapter estimates that SST increased at a rate of 0.16–0.19°C decade−1 from 2000 to 2021, 0–2000-m ocean heat content warmed by 0.57–0.73 W m−2 (applied over Earth’s surface area) from 1993 to 2021, and global mean sea level increased at a rate of 3.4 ± 0.4 mm yr−1 from 1993 to 2021. Global mean SST, which is more subject to interannual variations than ocean heat content and sea level, with values typically reduced during La Niña, was ~0.1°C lower in 2021 than in 2020. However, from 2020 to 2021, annual average ocean heat content from 0 to 2000 dbar increased at a rate of ~0.95 W m−2, and global sea level increased by ~4.9 mm. Both were the highest on record in 2021, and with year-on-year increases substantially exceeding their trend rates of recent decades

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BackgroundDisorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.MethodsWe estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.FindingsGlobally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.InterpretationAs the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed

Measurements Cross Sections Nuclear Reactions Protons Energies 30 MeV

Alvos naturais de Mg, Al, Si, Cr, Ti, Ni e Zr foram irradiados com prótons e as seções de choque para várias reações nucleares foram determinadas a energias inferiores a 30 MeV. As irradiações foram efetuadas nos ciclotrons CV-28 e CYCLONE 30 do IPEN, que possuem energia nominal de 24 e 30 MeV, respectivamente. O feixe de prótons foi monitorado por meio de lâminas de Cu ou a partir da formação de nuclídeos na própria amostra com seção de choque conhecida para as energias utilizadas. Especial interesse foi dedicado às reações raras di tipo (p, 2alfa) e (p, ANTPOT.3 H) das quais existem, em geral, poucos dados publicados, principalmente para energias próximas do limiar. A determinação da seção de choque foi realizada a partir da medida da atividade residual dos produtos pelo método de espectroscopia gama simples. Um detector HPG com resolução menor que 2 keV foi utilizado. Devido ao valor reduzido da seção de choque das reações de interesse no intervalo de energia considerado, uma análise estatística cuidadosa dos dado foi necessária. Em áreas reduzidas dos picos detectados precisaram da quantificação, em alguns casos, da contribuição de nuclídeos formados na própria amostra por outras reações, a partir de impurezas ou provenientes do fundo radioativo. Entre os produtos obtidos encontram-se os nuclídeos ANTPOT.22 Na, ANTPOT.26 Al, ANTPOT.44 Ti, e ANTPOT.54 Mn. A detecção de ANTPOT.26 Al nas amostras de Al e Si, permitiu estimar os limites do método proposto para o estudo de reações raras de interesse astrofísico. No total, são apresentados neste trabalho 72 valores de seção de choque. Desse total, 21 dados são apresentados pela primeira vez ou foram obtidos pela primeira vez pelo método proposto ou às energias estudadas. Os resultados mais importantes referem-se às reações ANTPOT.29 Si(p, 2alfa)ANTPOT.22 Na,ANTPOT.53 Cr(p, 2alfa)ANTPOT.46 Sc, ANTPOT.46 Ti(p, ANTPOT.3 H)ANTPOT.44 Ti, )ANTPOT.58 Ni(p, ANTPOT.3 H)ANTPOT.56 Ni e ANTPOT.90 Zr(p, ANTPOT.3 H)ANTPOT.88 Zr. Os resultados foram comparados com valores publicados na literatura e com o resultado do cálculo realizado a partir de modelos teóricos conhecidos, permitindo a obtenção de conclusões relativas ao método experimental, assim como aos mecanismos da reação envolvidos.Natural targets of Mg, Al, Si, Cr, Ti, Ni and Zr were irradiated with protons and the cross section for several reactions were determined for incident energies up to 30 MeV. The irradiations were performed at the CV-28 and CYCLONE 30 cyclotrons from the IPEN, which have nominal energies of 24 and 30 MeV, respectively. The protons beams were monitored by copper foils or by the nuclide formation in the irradiated targets with known cross sections for the used energy. Special interest was dedicated to rare reactions of the (p, 2alfa) and (p, ANTPOT.3 H) kind, from which we have a few published data, mainly for energies near the threshold. The cross section determination was accomplished by the residual actives measurement of the reaction products by the simple gamma spectroscopy method using an HPGe detector with resolution better than 2 keV. Due to the low value of the cross section for the considered reaction, a careful statistical analysis of the obtained data was needed. The small areas of the detected peaks required the quantification of the contributions of nuclides produced by others reactions, from contaminants or from the radioactive background. Among others, the ANTPOT.22 Na, ANTPOT.26 Al, ANTPOT.44 Ti and ANTPOT.54 Mn products have been detected. The detection of ANTPOT.26 Al in the Al and Si targets allow the estimation of the limits of the proposed method for the study of astrophysical interest reaction. In total, 72 cross section values are being presented. Out of this amount, 21 are being presented for the first time or have been obtained for the first time by the method or for the studied energies. The most important results refer to the ANTPOT.29 Si(p, 2gamma)²²Na, ANTPOT.53 Cr(p, 2gamma)ANTPOT.46 Sc, ANTPOT.46 Ti(p, ANTPOT.3 H)ANTPOT.44 Ti, ANTPOT.58 Ni(p, ANTPOT.3 H)ANTPOT.56 Ni and ANTPOT.90 Zr(p, ANTPOT.3 H)ANTPOT.88 Zr reactions. The results have been compared to published vales and calculations using known theoretical models, allowing the achievement of conclusions related to the experimental method, as well as the reaction mechanism involved

Measurements Cross Sections Nuclear Reactions Protons Energies 30 MeV

Alvos naturais de Mg, Al, Si, Cr, Ti, Ni e Zr foram irradiados com prótons e as seções de choque para várias reações nucleares foram determinadas a energias inferiores a 30 MeV. As irradiações foram efetuadas nos ciclotrons CV-28 e CYCLONE 30 do IPEN, que possuem energia nominal de 24 e 30 MeV, respectivamente. O feixe de prótons foi monitorado por meio de lâminas de Cu ou a partir da formação de nuclídeos na própria amostra com seção de choque conhecida para as energias utilizadas. Especial interesse foi dedicado às reações raras di tipo (p, 2alfa) e (p, ANTPOT.3 H) das quais existem, em geral, poucos dados publicados, principalmente para energias próximas do limiar. A determinação da seção de choque foi realizada a partir da medida da atividade residual dos produtos pelo método de espectroscopia gama simples. Um detector HPG com resolução menor que 2 keV foi utilizado. Devido ao valor reduzido da seção de choque das reações de interesse no intervalo de energia considerado, uma análise estatística cuidadosa dos dado foi necessária. Em áreas reduzidas dos picos detectados precisaram da quantificação, em alguns casos, da contribuição de nuclídeos formados na própria amostra por outras reações, a partir de impurezas ou provenientes do fundo radioativo. Entre os produtos obtidos encontram-se os nuclídeos ANTPOT.22 Na, ANTPOT.26 Al, ANTPOT.44 Ti, e ANTPOT.54 Mn. A detecção de ANTPOT.26 Al nas amostras de Al e Si, permitiu estimar os limites do método proposto para o estudo de reações raras de interesse astrofísico. No total, são apresentados neste trabalho 72 valores de seção de choque. Desse total, 21 dados são apresentados pela primeira vez ou foram obtidos pela primeira vez pelo método proposto ou às energias estudadas. Os resultados mais importantes referem-se às reações ANTPOT.29 Si(p, 2alfa)ANTPOT.22 Na,ANTPOT.53 Cr(p, 2alfa)ANTPOT.46 Sc, ANTPOT.46 Ti(p, ANTPOT.3 H)ANTPOT.44 Ti, )ANTPOT.58 Ni(p, ANTPOT.3 H)ANTPOT.56 Ni e ANTPOT.90 Zr(p, ANTPOT.3 H)ANTPOT.88 Zr. Os resultados foram comparados com valores publicados na literatura e com o resultado do cálculo realizado a partir de modelos teóricos conhecidos, permitindo a obtenção de conclusões relativas ao método experimental, assim como aos mecanismos da reação envolvidos.Natural targets of Mg, Al, Si, Cr, Ti, Ni and Zr were irradiated with protons and the cross section for several reactions were determined for incident energies up to 30 MeV. The irradiations were performed at the CV-28 and CYCLONE 30 cyclotrons from the IPEN, which have nominal energies of 24 and 30 MeV, respectively. The protons beams were monitored by copper foils or by the nuclide formation in the irradiated targets with known cross sections for the used energy. Special interest was dedicated to rare reactions of the (p, 2alfa) and (p, ANTPOT.3 H) kind, from which we have a few published data, mainly for energies near the threshold. The cross section determination was accomplished by the residual actives measurement of the reaction products by the simple gamma spectroscopy method using an HPGe detector with resolution better than 2 keV. Due to the low value of the cross section for the considered reaction, a careful statistical analysis of the obtained data was needed. The small areas of the detected peaks required the quantification of the contributions of nuclides produced by others reactions, from contaminants or from the radioactive background. Among others, the ANTPOT.22 Na, ANTPOT.26 Al, ANTPOT.44 Ti and ANTPOT.54 Mn products have been detected. The detection of ANTPOT.26 Al in the Al and Si targets allow the estimation of the limits of the proposed method for the study of astrophysical interest reaction. In total, 72 cross section values are being presented. Out of this amount, 21 are being presented for the first time or have been obtained for the first time by the method or for the studied energies. The most important results refer to the ANTPOT.29 Si(p, 2gamma)²²Na, ANTPOT.53 Cr(p, 2gamma)ANTPOT.46 Sc, ANTPOT.46 Ti(p, ANTPOT.3 H)ANTPOT.44 Ti, ANTPOT.58 Ni(p, ANTPOT.3 H)ANTPOT.56 Ni and ANTPOT.90 Zr(p, ANTPOT.3 H)ANTPOT.88 Zr reactions. The results have been compared to published vales and calculations using known theoretical models, allowing the achievement of conclusions related to the experimental method, as well as the reaction mechanism involved